AI Ops Engineer

About this role

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:

Key Responsibilities:

MCP Ecosystem Support

• Test MCP servers for functionality and security checks

• Configure server instances using established patterns

• Maintain server catalog documentation

• Troubleshoot basic connection issues and escalate when needed

• Learn MCP protocol internals and best practices

Skills & Agents Development

• Develop basic skills for client workflows under guidance

• Test team‑submitted skills for quality

• Maintain skills library documentation

• Contribute to starter templates and samples

• Learn secure coding practices

AWS Knowledge Bases & RAG Testing

• Run retrieval quality tests

• Assist with content tagging and classification

• Document test results and accuracy metrics

• Support documentation for RAG interactions

• Learn embeddings and RAG optimization

Governance & Security

• Follow marketplace vetting processes

• Conduct basic security reviews

• Maintain version control and audit trails

• Document security patterns

• Learn security best practices for AI tooling

Technical Support

• Provide first‑line debugging for MCP, skills, and agents

• Assist with environment setup

• Resolve common configuration issues

• Maintain support documentation and FAQs

• Document issues and resolutions

Training & Enablement

• Support onboarding to Claude Code and AI tooling

• Maintain best‑practice docs

• Assist with demos and sessions

• Maintain sandbox environments

• Create tutorials and how‑to guides

Platform Evaluation & Project Support

• Test emerging AI platforms

• Assist with demos and proof‑of‑concepts

• Document results and user feedback

• Test integrations with systems like JIRA, Confluence, CMDB

• Support AI project implementation

• Collect adoption metrics and usage data

Here is what you need:

• US citizen or dual citizen (Public trust eligible)

•
1+ years in software engineering, DevOps, or ITBasic

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Python skills (scripting, APIs, JSON/data manipulation)

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Familiarity with APIs and authentication (keys, tokens)

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Basic Git proficiency and understanding of AI/LLM concepts

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Strong troubleshooting ability

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Solid communication and willingness to learn

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Ability to work collaboratively and ask clarifying questions

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Strong attention to detail and documentation habits

Preferred experience:

• Active Secret or Public Trust clearance

• Exposure to Claude Code, AI dev tools, or LLM platforms

• Basic AWS knowledge (S3, Lambda, IAM)

• Experience in government or regulated environments

• Familiarity with JIRA and Confluence

• Interest in open‑source or personal coding projects

• Agile/Scrum exposure

• Certifications (AWS Cloud Practitioner, Security+, etc.)

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired…