Scope Knowledge Engine: ontology, data catalog, schema governance;
Design MCP architectures (Knowledge-Memory, API Bridge, Webhook Agents);
Build Context Engineering Layer (CLAUDE.md, AGENTS.md, harness patterns);
Curate agent skills, prompts, rubrics, and harness configs;
Own Accelerator Solution Map: toolkits, gap analysis, specifications;
Bridge EA and service teams
translate strategy into guidance;
Define SDLC standards and Operating Model artifacts;
Deliver EA leadership artifacts (Maturity Map, Dashboard, Portfolio, Integration Map, AI Scorecard).

5+ years in software architecture, solutions architecture, or enterprise architecture roles;
Demonstrated experience designing and building AI/LLM-integrated systems, including agent architectures, prompt engineering, RAG pipelines, and tool-use patterns;
Strong understanding of context engineering, including structured prompt design, system prompt authoring, knowledge retrieval optimization, and context window management;
Experience with at least two of: MCP, LangChain/LangGraph, Claude API, OpenAI API, or equivalent LLM orchestration frameworks;
Proficiency in Python and TypeScript/Node.js;
Experience with enterprise platform ecosystems, including Atlassian, Azure, GitHub, and Salesforce.

Senior Architect – AI Engineer

Key skills