Senior AI Context Architect | Enterprise AI Governance

Material; Austin (TX); Hybrid; USD 150,000 - 180,000; Full time

Job summary

Material is seeking a Senior Architect / AI Context Engineer to operate at the intersection of enterprise architecture, AI operationalization, and context engineering. This strategic generalist designs governance artifacts, agent/server architectures, and reusable accelerator patterns to guide AI-native delivery.

Based hybrid near our offices in New York, Austin, or Los Angeles, this role partners with data science and business teams to implement an enterprise context layer, publish ADRs and

Qualifications

• 8+ years in software architecture, solutions architecture, or enterprise architecture roles.
• Demonstrated experience designing and building AI/LLM-integrated systems: agent architectures, prompt engineering, RAG pipelines, tool-use patterns.
• Strong understanding of context engineering: structured prompt design, system prompt authoring, knowledge retrieval optimization, context window management.
• Experience with at least two of: MCP (Model Context Protocol), LangChain/LangGraph, Claude API, OpenAI API, or equivalent LLM orchestration frameworks.
• Proficiency in multiple programming languages (Python, TypeScript/Node.js required; others a plus).
• Proven track record authoring governance artifacts: ADRs, architecture standards, SDLC documentation, security review frameworks.
• Experience with enterprise platform ecosystems: Atlassian Confluence/Jira, Azure, GitHub, Salesforce.
• Strong technical writing and documentation skills; able to produce executive-ready architecture briefs and technical specifications simultaneously.

Responsibilities

• Design, author, and maintain MCP server architectures across recurring patterns: knowledge and memory servers, platform API bridge servers, and event-triggered agents.
• Build and curate reusable agent skills, system prompts, scoring rubrics, and harness configurations.
• Author and publish enterprise governance documentation: ADRs, security review checklists, governance model templates, and architecture review templates.
• Design and implement an enterprise context engineering layer: repo-level context file standards, templates, and harness patterns.
• Drive execution of a governed internal agent platform pilot: author archetypes, configure sessions with scoped tool access, validate audit trails.

Skills

Software architecture

AI/LLM systems

Context engineering

MCP protocols

LangChain / LangGraph

OpenAI / Claude API

Python

TypeScript / Node.js

Governance artifacts

Enterprise platforms

Technical writing

Tools

Confluence / Jira

Azure

GitHub

Salesforce

Job description

Material is seeking a Senior Architect / AI Context Engineer to operate at the intersection of enterprise architecture, AI operationalization, and context engineering. This strategic generalist designs governance artifacts, agent/server architectures, and reusable accelerator patterns to guide AI-native delivery.

Based hybrid near our offices in New York, Austin, or Los Angeles, this role partners with data science and business teams to implement an enterprise context layer, publish ADRs and