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Build the AI platform architecture: the reference design for how LLM capabilities are accessed
Own every architectural decision for the AI platform, and document, justify, and stand behind each
Evaluate and select new models, tools, and frameworks as the market moves.
Deliver the platform as a service, so teams can move their agents into governed cloud
Govern Anthropic (Claude API, Claude Code, Anthropic Enterprise), OpenAI, and future providers
Own technical relationships with Anthropic and OpenAI at the enterprise level.

8+ years in engineering, with at least 2 years building LLM-based systems in production, not
Comfort operating as the first person in a function: you set your own priorities, unblock yourself
Production-grade Python: tooling that others depend on, not scripts you hand off.
Deep, hands-on experience with the Anthropic and/or OpenAI APIs: function calling, tool use
Hands-on experience with agentic platforms, MCP servers, and MCP gateways, including designing
n8n: deploying, securely configuring, and maintaining multi-step automation workflows at

Platform Architect

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