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

Requirements

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

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAPI integrationsOAuthPATsIAMSSOGitCI/CD pipelinesAILLM

Soft Skills

technical leadershipmentorshipdocumentationdata-driven mindset