Senior Architect/AI Engineer
Job Description
REQUIREMENTS
- 5+ years of experience in software, solutions, or enterprise architecture roles
- Demonstrated experience designing and building AI/LLM-integrated systems, agent architectures, and RAG pipelines
- Strong understanding of context engineering, structured prompt design, and knowledge retrieval optimization
- Experience with at least two of the following: MCP, LangChain, LangGraph, Claude API, or OpenAI API
- Proficiency in Python and TypeScript/Node.js
- Experience with enterprise platform ecosystems including Atlassian, Azure, GitHub, and Salesforce
Preferred
- Experience with the Anthropic Claude ecosystem
- Experience with graph design, ontology modeling, or semantic data architectures
- Understanding of the Car/Driver/Road taxonomy
- Experience with enterprise governance models such as TOGAF or Zachman
RESPONSIBILITIES
- Scope Knowledge Engine components including ontology, data catalog, and schema governance
- Design MCP architectures such as Knowledge-Memory, API Bridge, and Webhook Agents
- Build the Context Engineering Layer using CLAUDE.md, AGENTS.md, and harness patterns
- Curate agent skills, prompts, rubrics, and harness configurations
- Own the Accelerator Solution Map, including toolkits, gap analysis, and specifications
- Bridge Enterprise Architecture and service teams to translate strategy into actionable guidance
- Define SDLC standards and Operating Model artifacts
- Deliver EA leadership artifacts including Maturity Maps, Dashboards, and AI Scorecards
Are you interested in this position?
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