Sr. AI Ops 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! The work: As a Senior AIOps Engineer, you will be the technical architect and senior implementer driving the client's AI Operations initiative. Key Responsibilities: Lead the architecture, design, build, and maintenance of the MCP (Model Context Protocol) ecosystem Vet MCP servers for security, compliance, and functionality; build and optimize server configurations Architect token optimization, performance tuning, and maintain MCP server catalog Design, develop, and review secure AI skills, agents, and plugins Establish a reusable skills library with standards, templates, and documentation Lead RAG and AWS Knowledge Bases optimization, including embedding, chunking, retrieval testing, and taxonomy design Develop and maintain governance structures, security reviews, vetting processes, and compliance frameworks Ensure IAM, authentication, and authorization requirements are met Troubleshoot complex MCP, skills, agent, and environment setup issues Maintain support documentation and perform root cause analyses Lead onboarding, demos, and technical enablement for AI tools (Claude Code, MCP, AWS AI stack) Evaluate new AI platforms and design proof‑of‑concepts Provide senior technical implementation support for AI projects and automation frameworks Here is what you need: US Citizen or dual citizen (Public Trust eligible) 5+ years of hands‑on experience in software engineering or DevOps Expert Python programming (automation, frameworks, MCP servers) Strong experience with API integrations and authentication (OAuth, PATs, IAM, SSO) Advanced Git, CI/CD pipelines, and core AI/LLM concepts (prompting, embeddings, RAG, agents) Proven ability to architect solutions and debug distributed systems Technical leadership and mentorship abilities Excellent documentation abilities and data‑driven mindset Preferred experience: Experience with Claude Code, MCP protocol, or similar AI developer tools Deep AWS knowledge (Lambda, Bedrock, Knowledge Bases, S3, IAM, API Gateway) Security architecture experience in regulated or government environments Experience with Atlassian APIs, ServiceNow integrations Open‑source contribution or maintainer background Cloud or security certifications (AWS Solutions Architect, Azure, CISSP, CEH, etc.) Experience with vector databases, semantic search, embeddings Experience with Docker, Kubernetes, and containerized architectures 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, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, 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 ... (truncated, view full listing at source)