31,239 Verified Artificial Intelligence (AI) Jobs - September 2026

Noodle is higher education’s leading strategy, services, and technology partner. We develop infrastructure, provide life-changing learning experiences, and grow the awareness of and the enrollment in some of the best academic institutions in the world. Our vision is “to empower universities to change the world.” We achieve this vision by offering our university partners various products and services that help them be more resilient, responsive, efficient, and interconnected. We’re looking for a Prompt Systems Engineer to sit at the intersection of AI capability and educational effectiveness. You will own the design, testing, and continuous improvement of the prompts and system instructions that power Noodle’s AI agents across enrollment, learning, and student support use cases. This is a hands-on, high-impact role. You’ll work directly with product managers, learning designers, university stakeholders, and engineers to translate operational and pedagogical goals and business requirements into agent behavior — and you’ll build the evaluation frameworks to prove that behavior is working. As a Prompt Systems Engineer, you will: Prompt Design Engineering Write, iterate, and maintain system prompts and instruction sets for Noodle’s AI agents focused on students enrollment, learning, and retention Translate complex educational and operational requirements into clear, reliable agent behavior — including persona definition, tone, scope constraints, fallback handling, and multi-turn conversation logic Design prompt architectures for multi-step and chained agent workflows, including RAG-augmented agents that draw from program-specific knowledge bases Collaborate with the engineering team to configure and deploy agents through Noodle’s AI orchestration platform, including primary prompts, secondary context, knowledge base attachments, and embed definitions Create the learner experiences defined by “three-way” chat between the learner, a campus or Noodle support staff member, and that staff member’s AI assistant Evaluation Quality Build and maintain evaluation frameworks to measure agent accuracy, tone, hallucination rate, task completion, and alignment with rubric-based learning objectives Use Langfuse (Noodle’s LLM observability platform) to monitor prompt performance in production, identify regressions, and prioritize prompt improvements Design red-teaming and adversarial testing protocols to surface edge cases and failure modes before agents reach students Establish prompt versioning practices and maintain a library of tested, reusable prompt components Collaboration Enablement Partner with Noodle teammates and university stakeholders to design, build, and test agents — translating learning objectives, operational flows, rubric assessments, and more into prompt-level agent instructions Work with enrollment and student success teams to tune companion agents for specific programs and university partner contexts Contribute prompt engineering guidelines and best practices documentation for internal teams who configure their own agents on Noodle’s AI orchestration platform Stay current with model capability changes across OpenAI, Anthropic, and other providers integrated into Noodle’s stack, and proactively surface opportunities or risks Perform other duties as assigned You have: 2+ years of experience designing and iterating on prompts for LLM-powered applications in a production environment Deep familiarity with prompt patterns: few-shot examples, chain-of-thought, system vs. user roles, output formatting constraints, tool-use prompting, and RAG integration Strong written communication — you can write clearly, precisely, and persuasively, because that’s the core of the job Experience building and running prompt evaluations: defining metrics, writing test cases, and interpreting results to make improvement decisions Comfort working across disciplines — you can hold a conversation with an engineer about context windows and with a faculty member about Bloom’s Taxonomy Experience with LLM observability tools (Langfuse, Weights Biases, or similar) Familiarity with LTI (Learning Tools Interoperability) and how AI tools plug into LMS platforms like Moodle, Canvas, or Instructure Experience with voice agents or multimodal prompting Comfort reading and writing basic code (JavaScript, Python) to support prompt automation and testing pipelines Knowledge of OpenAI, Anthropic, or other model provider APIs Ability to thrive in ambiguity and iterate quickly based on user feedback Ability to work effectively in dynamic, rapidly changing, team-based environment At Noodle, we hire people who will help us change the future of education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential. Meet the team! We’re looking for a Prompt Systems Engineer to sit at the intersection of AI capability and educational effectiveness. You will own the design, testing, and continuous improvement of the prompts and system instructions that power Noodle’s AI agents across enrollment, learning, and student support use cases. This is a hands-on, high-impact role. You’ll work directly with product managers, learning designers, university stakeholders, and engineers to translate operational and pedagogical goals and business requirements into agent behavior — and you’ll build the evaluation frameworks to prove that behavior is working. As a Prompt Systems Engineer, you will: Prompt Design Engineering Write, iterate, and maintain system prompts and instruction sets for Noodle’s AI agents focused on students enrollment, learning, and retention Translate complex educational and operational requirements into clear, reliable agent behavior — including persona definition, tone, scope constraints, fallback handling, and multi-turn conversation logic Design prompt architectures for multi-step and chained agent workflows, including RAG-augmented agents that draw from program-specific knowledge bases Collaborate with the engineering team to configure and deploy agents through Noodle’s AI orchestration platform, including primary prompts, secondary context, knowledge base attachments, and embed definitions Create the learner experiences defined by “three-way” chat between the learner, a campus or Noodle support staff member, and that staff member’s AI assistant Evaluation Quality Build and maintain evaluation frameworks to measure agent accuracy, tone, hallucination rate, task completion, and alignment with rubric-based learning objectives Use Langfuse (Noodle’s LLM observability platform) to monitor prompt performance in production, identify regressions, and prioritize prompt improvements Design red-teaming and adversarial testing protocols to surface edge cases and failure modes before agents reach students Establish prompt versioning practices and maintain a library of tested, reusable prompt components Collaboration Enablement Partner with Noodle teammates and university stakeholders to design, build, and test agents — translating learning objectives, operational flows, rubric assessments, and more into prompt-level agent instructions Work with enrollment and student success teams to tune companion agents for specific programs and university partner contexts Contribute prompt engineering guidelines and best practices documentation for internal teams who configure their own agents on Noodle’s AI orchestration platform Stay current with model capability changes across OpenAI, Anthropic, and other providers integrated into Noodle’s stack, and proactively surface opportunities or risks Perform other duties as assigned You have: 2+ years of experience designing and iterating on prompts for LLM-powered applications in a production environment Deep familiarity with prompt patterns: few-shot examples, chain-of-thought, system vs. user roles, output formatting constraints, tool-use prompting, and RAG integration Strong written communication — you can write clearly, precisely, and persuasively, because that’s the core of the job Experience building and running prompt evaluations: defining metrics, writing test cases, and interpreting results to make improvement decisions Comfort working across disciplines — you can hold a conversation with an engineer about context windows and with a faculty member about Bloom’s Taxonomy Experience with LLM observability tools (Langfuse, Weights Biases, or similar) Familiarity with LTI (Learning Tools Interoperability) and how AI tools plug into LMS platforms like Moodle, Canvas, or Instructure Experience with voice agents or multimodal prompting Comfort reading and writing basic code (JavaScript, Python) to support prompt automation and testing pipelines Knowledge of OpenAI, Anthropic, or other model provider APIs Ability to thrive in ambiguity and iterate quickly based on user feedback Ability to work effectively in dynamic, rapidly changing, team-based environment At Noodle, we hire people who will help us change the future of education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential. Meet the team! Noodle Africa Benefits: Work from the comfort of your home office! Great compensation package Tools you need on us! Laptop (Mac is our computer of choice) and EcoFlow inverter 12 weeks paid Parental Leave benefits 20 working days annual leave + 10 paid national holidays Medical/RA benefit Internet benefits Full access to our employee assistance program (EAP) through Company Wellness Annual education stipend for lifelong learning Eligibility Requirements: This position is based in South Africa. Applicants must be legally authorized to live and work in South Africa and must maintain residency within South Africa throughout their employment. Proof of eligibility and residency will be required upon hiring. At Noodle, we hire people who will help us change the future of online education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential. Noodle is committed to creating a welcoming and inclusive workplace for everyone. We value and celebrate our differences because those differences are what make our team shine. We hire great people from different backgrounds, not just because it's the right thing to do, but because it makes us stronger as a whole. Women, people of color, LGBTQIA2S+ individuals, and members of other underrepresented groups are strongly encouraged to apply. Noodle is an equal opportunity employer and does not discriminate against candidates on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, or veteran status.

Posted 1 day ago

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role is based in Dublin, Ireland At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn’s Trust Review Operations team protects our global community by ensuring AI‑driven moderation systems are safe, accurate, and reliable. As an AI Prompt Engineer (IC3), you will design, test, refine and evaluate prompts and workflows that assist in content moderation, improve detection quality, and support reviewer decision‑making. This role is ideal for someone who enjoys hands‑on experimentation, analyzing model behaviour, and partnering with Policy, Engineering, and Data Science to improve safety outcomes. What You’ll Do Prompt Design, Testing Optimization Design and refine prompts for classification, risk detection, case summarization, and reviewer support. Run prompt experiments to diagnose issues such as hallucinations, misclassifications, bias, or inconsistent behaviour. Help maintain evaluation frameworks for accuracy, safety, and reliability. AI Case Support Risk Mitigation Support AI‑assisted workflows in resolving medium and high‑risk cases. Identify model errors, document patterns, and recommend improvements to reduce operational risk. Contribute to operational guardrails and escalation criteria for AI behaviour. Incident Management Quality Monitoring Flag AI output issues (e.g., inconsistent decisions, low‑confidence outcomes, override trends). Participate in incident reviews and help document root‑cause insights. Policy Regulatory Alignment Ensure AI outputs align with platform policies, MDSS, and relevant regulations (e.g., DSA). Work with policy experts to translate reviewer feedback into clearer prompts and rules. Feedback Integration Model Improvement Collect feedback from reviewers, policy partners, and operational teams to refine prompts. Translate qualitative insights into structured requirements for Engineering and Data Science. Data Analysis Experimentation Analyze prompt and evaluate model performance using SQL or dashboards. Track trends such as classifier drift, emerging abuse patterns, or changes in harmful content. Contribute data‑backed insights that inform roadmap and workflow updates. Basic Qualifications Bachelor’s degree in Data Science, AI/ML, Engineering, Policy, or related field (or equivalent experience). 4+ years of experience in Trust Safety, content moderation, AI operations, quality, or policy. 2+ years experience designing or testing prompts or working with LLMs / classification models. 2+ years experience with evaluation metrics (precision, recall, FPR, FDR) and model quality testing. 2+ years experience with AI coding assistants (Github CoPilot, Claude code or equivalent agentic CLI tools) used to build, test, iterate on and evaluate prompts. Preferred Qualifications Understanding of Trust Safety policies, global regulations (e.g., DSA), and safety standards. Experience collaborating with Product, Engineering, Policy, or Data Science teams. Exposure to human‑in‑the‑loop workflows, generative AI systems, or safety‑centric model evaluation. Ability to analyze model outputs and identify patterns, gaps, and risks. Strong written communication skills for writing clear, reproducible prompt instructions. Proficiency using data tools (e.g., SQL and python) to evaluate model and prompt performance. Skills Competencies Prompt Engineering Model or Agent Evaluation Analytical Thinking Data Interpretation Problem Solving Technical Curiosity Written Verbal Communication Collaboration Stakeholder Support Quality Detail Orientation Adaptability in fast‑changing environments Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

Posted 1 week ago

Caravel BPM Technology Solutions – where caring and community is in our company DNA, we are always striving to be our best selves and we’re compelled to ask the questions that lead to innovation. As a Managed Services NetSuite Consultant, you will lead and understand a client’s subscription terminology, gather requirements, configure, test, and walk the client through end-to-end processes and train end users. Industry experience in the software and services verticals are preferred. Our team of consultants is a smart and friendly team who enjoy working together in a collaborative and supportive work environment. Working with Caravel BPM means using your experiences, broadening your skills, and reaching your full potential in work and life—while also making a positive difference for your clients, colleagues, and communities. Our shared entrepreneurial spirit drives us to see and do things differently. Our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. Because People Matter. BPM India Advisory Service Private Limited - Formerly known as “Burr Pilger Mayer India Private Limited”. (BPM India) is a subsidiary of BPM LLP. Founded in 1986, BPM is one of the largest California-based accounting and consulting firms, ranking in the top 50 in the country. With 17 different office locations, BPM serves emerging and mid-cap businesses as well as high-net-worth individuals in a broad range of industries, including financial services, technology, life science, manufacturing, food, wine and craft brewing, automotive, nonprofits, real estate and construction. The Firm’s International Tax Practice is one of the largest on the West Coast and its well-recognized SEC practice serves approximately 35 public reporting companies, mostly in the technology industry. Caravel BPM Technology Solutions – where caring and community is in our company DNA, we are always striving to be our best selves and we’re compelled to ask the questions that lead to innovation. As a Managed Services NetSuite Consultant, you will lead and understand a client’s subscription terminology, gather requirements, configure, test, and walk the client through end-to-end processes and train end users. Industry experience in the software and services verticals are preferred. Our team of consultants is a smart and friendly team who enjoy working together in a collaborative and supportive work environment. Working with Caravel BPM means using your experiences, broadening your skills, and reaching your full potential in work and life—while also making a positive difference for your clients, colleagues, and communities. Our shared entrepreneurial spirit drives us to see and do things differently. Our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. Because People Matter. BPM India Advisory Service Private Limited - Formerly known as “Burr Pilger Mayer India Private Limited”. (BPM India) is a subsidiary of BPM LLP. Founded in 1986, BPM is one of the largest California-based accounting and consulting firms, ranking in the top 50 in the country. With 17 different office locations, BPM serves emerging and mid-cap businesses as well as high-net-worth individuals in a broad range of industries, including financial services, technology, life science, manufacturing, food, wine and craft brewing, automotive, nonprofits, real estate and construction. The Firm’s International Tax Practice is one of the largest on the West Coast and its well-recognized SEC practice serves approximately 35 public reporting companies, mostly in the technology industry. Job Summary: As an AI Prompt Engineer at Caravel, you'll build the production layer of our AI practice — the prompts, prompt chains, and LLM-driven components that power client solutions and the internal accelerators our consultants rely on. You'll partner with our AI Specialists to turn solution designs into reliable, evaluated, production-ready builds. This is a hands-on build role for someone who cares about getting model behavior right, not just getting it to run. Key Responsibilities: Design, build, test, and iterate on prompts and prompt chains for production LLM workflows across client delivery and internal automation. Implement evaluation harnesses, guardrails, and regression tests so output quality is measurable and stays stable over time. Integrate LLM components with business systems and data — APIs, retrieval/RAG pipelines, and structured outputs. Partner with AI Specialists to convert solution designs into production builds, and document patterns for reuse. Tune for accuracy, cost, latency, and safety against real evaluation data — not vibes. Grow Caravel's library of reusable AI accelerators. Preferred Qualifications 2+ years building software or AI/LLM components, including hands-on experience crafting and iterating prompts for real applications. Working knowledge of LLM fundamentals: context windows, few-shot prompting, function/tool calling, structured outputs, and RAG basics. Proficiency in Python (or similar) and comfort with APIs, JSON, and version control (Git). A test-and-measure mindset — you evaluate output quality, you don't eyeball it. Clear written English and strong documentation habits. Ability to collaborate across time zones with an onshore/nearshore team. Preferred Skills: Experience with evaluation frameworks (e.g., promptfoo, Ragas, or custom eval harnesses). Familiarity with embeddings, vector databases, and retrieval pipelines. Exposure to ERP/CRM ecosystems (NetSuite, Salesforce) or business-process automation. Experience with agentic frameworks and orchestration.

Posted 4 weeks ago

Why Avanade? Because there’s literally no place like this We have two parent companies that give us a strong Microsoft ecosystem with space to be ourselves. People who thrive here are motivated, interested in learning and genuinely have a desire to be the best at what they do. If that sounds like you, then we’re the perfect match. You will have the opportunity to utilize the most advanced technology within the Microsoft ecosystem, collaborating with some of the world's largest and most renowned companies, as well as working alongside highly intelligent individuals. This environment allows you to make a significant impact on your career trajectory. If you are looking to enhance your skills and drive transformation within businesses, there is no better place to be. The EME AI Delivery Hub AI—and particularly Generative AI —is expected to profoundly impact every company over the coming years. Thanks to Microsoft and Avanade’s strategic investments in AI and OpenAI, we are uniquely positioned to help our clients become AI-first organizations . The EME AI Delivery Hub is an Iberia-based nearshore delivery center serving European and Middle Eastern clients, specialized in end-to-end AI and Advanced Analytics solutions. By joining the Hub, you will be part of a delivery pod working in an agile setup, owning AI initiatives from problem framing and data exploration to model development, deployment, and adoption . You will work closely with clients, guiding them throughout their AI and GenAI transformation journey. Job Overview As a Senior Analyst – AI Data Science , you will design, develop, and deliver AI- and data-driven solutions that help our clients achieve measurable business outcomes. This role combines strong Data Science foundations with hands-on AI engineering , including recent GenAI use cases. You will work across the full data science lifecycle: data exploration, feature engineering, model development, evaluation, and deployment , while also contributing to modern AI solutions such as LLM-based applications, NLP, computer vision, and predictive analytics , primarily on Microsoft Azure . Key Role Responsibilities Day-to-day you will: Design and deliver end-to-end Data Science and AI solutions , from business understanding and data exploration to model deployment and monitoring. Perform exploratory data analysis (EDA) , feature engineering, and data preprocessing on structured and unstructured datasets. Develop, train, evaluate, and optimize machine learning and deep learning models , selecting appropriate algorithms and validation strategies. Contribute to Generative AI solutions , including LLM-based applications, prompt engineering, RAG architectures, and applied NLP use cases. Translate business problems into analytical and ML formulations, clearly explaining trade-offs and results to both technical and non-technical stakeholders. Support the preparation of client presentations, demos, and proposals , articulating analytical insights and AI-driven value. Stay up to date with the latest advancements in Data Science, ML, DL, and GenAI , and actively share knowledge within the team. Contribute to reusable assets such as code templates, analytical frameworks, and internal training materials . Collaborate with senior team members and architects to identify opportunities where advanced analytics and AI can transform client operations. . Key Role Skill Capability Requirements Core Skills Strong foundation in Data Science and applied Machine Learning , including supervised and unsupervised learning. Hands-on experience with ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow or equivalent). Solid understanding of model evaluation, validation, and performance metrics . Experience working with structured and unstructured data , including text data for NLP use cases. Proficiency in Python for data analysis and ML development. AI GenAI Experience or strong interest in Generative AI , including LLMs, embeddings, prompt engineering, and retrieval-based approaches. Familiarity with NLP, computer vision, forecasting, or optimization use cases is a strong plus. Exposure to Azure AI / Azure Machine Learning / Azure OpenAI is highly valued. Professional Skills Strong analytical and problem-solving mindset, with the ability to structure ambiguous problems. Ability to communicate insights clearly in English and Spanish , both written and verbal. Comfortable working in agile, client-facing environments . Preferred Education Background You likely hold a bachelor’s and/or master’s degree in computer science , Data Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field. Equivalent practical experience is also valued. Preferred Years of Work Experience: 3+ years of applied experience delivering Data Science, Machine Learning, or AI projects in real-world environments. Experience over the last few years may be heavily focused on GenAI , but grounded in solid ML/DL and analytical fundamentals. What We offer An accelerated and structured training program on Microsoft Azure and AI services . Hands-on exposure to real client projects across computer vision, NLP, forecasting, and GenAI (Azure OpenAI, chatbots, RAG) . Continuous learning through certifications, mentoring, and internal communities of practice. .

Posted 3 days ago

Join Confido, the AI infrastructure for modern CPG, as we revolutionize operations for over 200 brands. We're expanding rapidly, and new team members will significantly impact our product and culture. As a Senior Applied AI/ML Engineer, you'll work with large datasets, address complex AI challenges, and improve systems for document understanding and demand forecasting. Ideal candidates have a strong background in applied AI/ML, product insight, and a desire for ownership in a fast-paced setting.

Posted 3 weeks ago

Oddball is seeking an Applied AI/ML Engineer to design, build, and deploy AI-powered solutions that address real-world problems. This role involves the application of modern machine learning techniques in production systems, collaborating with engineers and product stakeholders. Ideal candidates will possess a strong foundation in machine learning principles, experience with real-world applications, and proficiency in Python and ML libraries. The position is hybrid/remote, primarily focused on candidates located in the DMV area, and emphasizes the importance of learning and collaboration in a fast-paced environment.

Posted 3 weeks ago

Intangible.ai, a spatial intelligence company, focuses on advancing 3D generative AI for various industries. The company seeks a creative Applied AI/Machine Learning Engineer to design AI assistants that enhance interactive 3D workflows. Ideal candidates will have software development expertise and experience with NLP and ML frameworks. Intangible fosters an interdisciplinary environment with opportunities for significant contributions to unique products.

Posted 4 weeks ago

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! We are seeking an AI Enginee r with strong experience in Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG) to design, build, and optimize intelligent systems that solve complex mission and enterprise challenges. This role blends modern GenAI engineering with traditional computer science and machine learning, supporting both rapid prototyping and production‑grade delivery. Responsibilities Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation, vector storage, retrieval logic, and LLM orchestration. Build and optimize LLM‑powered applications for classification, summarization, Q A, knowledge retrieval, and workflow automation. Apply core software engineering and ML fundamentals to ensure performance, reliability, and security (e.g., data structures, algorithms, model evaluation, MLOps, API development). Implement and tune traditional ML models when required (e.g., regression, clustering, feature engineering, classical NLP). Integrate cloud‑native services (Azure/AWS), data pipelines, and containerized workloads (Docker). Collaborate closely with cross‑functional teams—including data engineers, architects, and mission SMEs—to translate requirements into scalable solutions. Qualifications Hands‑on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks. Strong programming skills in Python; familiarity with Java/C++ is a plus. Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace). Solid understanding of algorithms, data structures, APIs, and distributed systems. Experience with cloud platforms (AWS or Azure) and containerization (Docker). Ability to work across structured and unstructured datasets. Preferred Skills Experience building production‑ready AI/ML systems, including CI/CD or MLOps frameworks (MLFlow/BentoML). Understanding of data governance, security constraints, and model risk management. Ability to communicate complex technical concepts to non‑technical stakeholders. Clearance An active TS/SCI is required As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $100,600 — $135,100 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Posted 1 day ago

YOU ARE As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps MLOps Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools Justify the value of model approaches in business problems Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production EDUCATION Bachelor's Degree or equivalent Basic (required) Qualification Proven experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing. Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks Minimum of 1 years of experience in building and deploying AI/ML based software to a cloud environment. Preferred Qualification Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++, Java, R, SQL Strong written verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders Strong client-facing skillsets in a consulting environment Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation MS or PhD in related field preferred (computer science, engineering, etc.)

Posted 2 days ago

AI ML Engineer The Opportunity: As an experience d engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support Army missions in the realm of cutting-edge AI technologies. As an AI and machine learning engineer on our Army enterprise AI and ML team, you’ll train, test, deploy, and maintain AI capabilities across mission sets. In this role, you’ll lead the direction of critical solutions by applying best-fit AI / ML solutions and introducing leading-edge technologies. You’ll share your knowledge across a large portfolio of projects and collaborate with AI and ML solution architects, intel analysts, cloud architects, data engineers, and data scientists to deliver world-class solutions to real-world problems in the threat landscape and analysis domain. Your skills and extensive technical expertise will guide customers as they navigate the landscape of introducing AI and automation to their existing manual processes. Work with us to solve real-world challenges and define the AI / ML strategy for Army enterprise clients. Join us. The world can’t wait. You Have: 5+ years of experience engineering code in an object-oriented language such as Python, C, C++, Go, Rus t, Java, or Haskell 4+ years of experience creating sof tware for retrieving, parsing, and processing structured and unstructured data 3+ years of experience implementing advanced data science, natural language processing, or machine learning models 3+ years of experience coding Dataframes utilizing Pandas, Polars, or PySpark 2+ years of experience designing, developing, operationalizing, and maintaining complex data science applications at enterprise scale 2+ years of experience working with algorithms, machine learning models, or MLOps to produce analytical or visual products Knowledge of data formats such as JSON, Parquet, Avro, or CSV Secret clearance Bachelor's degree in Computer Science or Computer Engineering Nice If You Have: 5+ years of experience using Python, C, C++, Go, Rus t, Java, or Haskell 5+ years of experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud 5+ years of experience with Distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, HBase, Accumulo, AWS EMR, Nifi, Luigi, Dask, or Kafka 5+ years of experience with NoSQL databases such as Elasticsearch, Solr, MongoDB, or Cassandra 5+ years of experience with data warehousing and databases such as AWS Redshift, PostgreSQL, MySQL, Oracle, or Snowflake 2+ years of experience working in a team environment for Git, GitLab, or GitHub 2+ years of experience with scaling data engineering or ETL / ELT across distributed computing clusters such as Apache Nifi, Spark, Dask, Airflow, or Luigi Master’s degree in Data Science, Computer Science, or ML Engineering AWS, Google, Data Analytics, Machine Learning Engineer, or Solutions Architect Certification s ML Engineering, Cloud Architecture, Sof tware Engineering, Web Development, or Data Science Certification s Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Posted 2 days ago

SS&C Technologies is looking for an AI / ML Engineer with 4-7 years of experience in Machine Learning, Natural Language Processing, and Deep Learning. Candidates should be proficient in Python and have hands-on experience with major ML frameworks. Responsibilities include fine-tuning transformer-based architectures and a solid understanding of document OCR processing tools and model evaluation metrics. The job is based in Hyderabad, India, and applications are accepted on an ongoing basis.

Posted 5 days ago

Fieldwire is seeking an AI/ML Engineer to enhance construction site documentation through 360° video capture and AI-driven insights. The ideal candidate will leverage machine learning models to turn data into actionable intelligence, enabling better job site understanding and collaboration. Responsibilities include developing AI solutions, maintaining data quality, and deploying models in a cloud environment. A strong background in machine learning, computer vision, and deep learning frameworks is essential. The estimated salary for this role is between $152,000 and $220,000, reflecting various factors like location and experience.

Posted 1 week ago

About Air Apps At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. The Role As an AI/ML Engineer , you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position , based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Responsibilities Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into our development processes. Optimize AI models for mobile environments to ensure high performance and low latency. Requirements Around 4+ years of experience in AI/ML development, preferably in mobile applications. Proficiency in Python , TensorFlow , PyTorch , or other ML frameworks. Experience with deep learning, NLP, computer vision , and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices . Experience in deploying and maintaining ML models in production . Ability to work collaboratively in a remote team environment. Strong problem-solving skills and a passion for innovation. What benefits do we offer? Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. Diversity Inclusion At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. Application Disclaimer At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Posted 1 week ago

We are seeking an AI/ML Engineer to contribute to the integration of AI and machine learning models into our products and services. The successful candidate will support quality assurance for ML models, participate in design discussions, and enhance solution package development. A minimum of 3 years' experience in machine learning and data engineering, along with skills in Python and a solid understanding of ML algorithms, are essential. Excellent communication skills are required to convey technical concepts effectively.

Posted 1 week ago

About Cinder Cinder is the mission-critical infrastructure that keeps the world's most important digital platforms true to what they stand for. The internet has always been abused by bad actors, and AI is making it exponentially worse, driving fraud, abuse, and manipulation at a scale and speed no human team can fight alone. Cinder gives platforms one command center to fight back: to write and enforce policy, deploy AI agents against abuse in real time, investigate threats, file NCMEC reports, and prove their safety programs are working. Our customers are some of the largest internet platforms in the world. The decisions made in our software directly determine what stays up, what comes down, and how users are treated. We're a small, fast-moving team backed by Accel and Y Combinator. We care about being intentional, direct, and deeply focused on solving real customer problems. Why This Role Cinder is expanding quickly, and we want to bring on an additional AI Engineer to partner with our current AI Engineers, Data Scientist, and Data Engineer. You'll build the ML systems that make Cinder faster, more efficient, and more accurate, turning the enormous volume of customer decision data we process into production models that directly shape customer outcomes. We're looking for a builder. Someone who has taken models from messy data to production at scale, who reaches for a gradient-boosted tree before a transformer when that's the right call, and who has stood up ML infrastructure from scratch rather than inheriting it fully-built. What matters most is judgment: knowing the smallest, most efficient, most reliable model for the job, and understanding both ML methods and LLMs deeply enough to make that call yourself rather than defaulting to whichever one you know best. This role needs someone who cares as much about precision-recall tradeoffs, class imbalance, and serving latency as they do about model architecture. What you'll do Turn real-world customer data into something a model can actually learn from, then decide what model approach fits: a classical classifier when it wins on cost and latency, a fine-tuned LLM when the tradeoff is worth it, a third-party API as a bootstrap. You own the full path from data to decision, not just the model. Improve our classification pipeline, confidence cascading, and detection strategies so we catch harmful content efficiently — balancing cost, latency, and accuracy deliberately. Develop intelligent features that help moderators make decisions, organize platform content, and reveal patterns across our data. Partner with Engineering to build out Cinder's in-house model training, hosting, and inference platform. Design and build the evaluation and metrics infrastructure customers rely on, including how classifier scores and model outputs are calculated, stored, surfaced, and iterated on. Partner with our Founding Data Scientist and AI Engineers to shape the agent evaluation architecture — measuring whether our agent fleet is making the right decisions with the right tools at the right cost. Partner with our Data Engineer to shape the data infrastructure powering our ML systems, ensuring model training, feature pipelines, and production inference have the right data flowing at the right latency and scale. Mentor teammates and raise the ML bar across the company as Cinder's ML capability matures. What we’re looking for 5–8+ years of machine learning engineering experience on a small team, with a strong track record of shipping ML systems (gradient boosting, tree-based models, classifiers, embedding-based methods) to production. You've taken a classification problem from messy, unlabeled, real-world data all the way to a model that shipped and served production traffic. You understand LLMs well enough to make an informed, defensible call about when an LLM is worth its cost and latency versus a classic model. Real, hands-on experience building classifiers under severe class imbalance, where the signal you care about is a small minority of the data Thrived in environments where the ML infrastructure wasn't already built for you: you've stood up training pipelines, serving infrastructure, evaluation harnesses, and monitoring from scratch rather than inheriting a mature platform. Startup or small/mid-size company experience where you owned meaningful scope and had to make pragmatic tradeoffs about what to build, what to buy, and what to defer. Deep fluency with the fundamentals: thoughtful feature engineering, leak-aware train/test splits, metric selection on imbalanced data (precision/recall/F1/AUC over accuracy), cross-validation, and principled hyperparameter tuning. Strong Python skills and hands-on experience with AI ML frame works: (PyTorch, scikit-learn, langchain, XGBoost etc) Solid MLOps foundation: CI/CD for ML, model versioning, experiment tracking, drift detection, and production monitoring. Bonus if you have experience with training, evaluating and serving models via Databricks Experience designing inference systems with explicit latency and throughput targets, and independently making informed tradeoffs between model complexity, cost, and performance. Experience with AWS and infrastructure-as-code (Terraform) is a plus. Location Benefits We're based in NYC and will relocate for this role. We believe in working together in person and hold at least two all-company events per year. We offer health, vision dental benefits, a 401(k) plan with employer matching, fully paid commuter benefits, and a fully stocked office with paid lunch and dinner.

Posted 1 week ago