Senior Architect / AI Engineer

Nitka Technologies•,

3d•Remote

About The Position

The Senior Architect / AI Engineer is a strategic generalist bridging enterprise architecture, AI operationalization, and context engineering. Drives AI-native design across the enterprise through governance artifacts, MCP architectures, reusable accelerators, and prompt harnesses. Connects strategy to hands-on implementation.

Requirements

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

Nice To Haves

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, Zachman, or custom tiered governance

Responsibilities

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)