AI​/ML Engineer

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.

• 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.

• 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, Tensor Flow, Hugging Face).
• 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.

• 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.

• 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.

We accept applications on an on-going basis and there is no fixed Final date to receive applications.

$100,600 — $135,100 USD

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…