Accenture Federal Services→
AI Ops Engineer at Accenture Federal Services in Washington, DC
Entry LevelOn-siteFull-timeWashington, DC$70k–$137k/yr
Skills
pythonapisjsondata manipulationapi authenticationgitai conceptsllm conceptstroubleshootingawsjiraconfluencesecurity reviewswillingness to learn
Job Description
Summary: Accenture Federal Services is dedicated to helping the US federal government enhance safety and improve lives through technology. The AI Ops Engineer will support various technical responsibilities, including server testing, skills development, governance, security, and platform evaluation to drive positive change in government operations.
Responsibilities:
- 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
- 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
- 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
- Follow marketplace vetting processes
- Conduct basic security reviews
- Maintain version control and audit trails
- Document security patterns
- Learn security best practices for AI tooling
- 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
- 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
- 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
Required Qualifications:
- US citizen or dual citizen (Public trust eligible)
- 1+ years in software engineering, DevOps, or ITBasic
- Python skills (scripting, APIs, JSON/data manipulation)
- Familiarity with APIs and authentication (keys, tokens)
- Basic Git proficiency and understanding of AI/LLM concepts
- Strong troubleshooting ability
- Solid communication and willingness to learn
- Ability to work collaboratively and ask clarifying questions
- Strong attention to detail and documentation habits
Preferred Qualifications:
- 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.)
Required Skills: Python, APIs, JSON, Data manipulation, API authentication, Git, AI concepts, LLM concepts, Troubleshooting, AWS, JIRA, Confluence, Security reviews, Willingness to learn