Senior AI/ML & Data Engineer

<div class="content-intro"><div> <div>&nbsp;</div> <div>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.&nbsp;</div> <div>&nbsp;</div> <div>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.&nbsp;</div> <div>&nbsp;</div> <div>Join us to drive positive, lasting change that moves missions and the government forward!</div> <div>&nbsp;</div> </div></div><p><strong>Job Description</strong>:</p> <p>We are looking for an experienced Senior AI/ML and Data Engineer to develop, implement, and maintain sophisticated machine learning, LLM, and enterprise AI solutions for our federal client. The ideal candidate combines strong hands on engineering talent with architectural leadership—capable of shaping mission aligned AI strategy, designing scalable pipelines, and delivering production-grade ML and Generative AI capabilities in secure environments. This role will partner with cross functional teams - including data engineering, cloud engineering, cybersecurity, and mission SMEs - to architect end-to-end AI systems that are reliable, compliant, and impactful.</p> <p><strong>The work you'll do</strong>:</p> <ul> <li><strong>AI/ML Engineering</strong>: <ul> <li>Design, develop, and deploy machine learning models, LLM applications, retrieval augmented generation (RAG) pipelines, and agentic AI systems.</li> <li>Build data preprocessing, training, fine tuning, inference, and evaluation workflows.</li> <li>Develop scalable ML pipelines using modern toolchains (SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace).</li> <li>Implement MLOps solutions including CI/CD for ML, model versioning, monitoring, logging, and drift detection.</li> <li>Shape AI system design decisions including vector DB selection, embedding strategies, prompt architecture, and model selection.</li> <li>Define target state architectures for LLM enabled applications, AI microservices, RAG pipelines, and knowledge retrieval systems.</li> </ul> </li> <li><strong>Data &amp; Cloud Engineering</strong>: <ul> <li>Design, build, and maintain scalable automated