Senior AI Architect - Cyclotron

Summary

Responsibilities

• Lead AI engagements end-to-end: discovery, architecture, delivery oversight, executive updates, and knowledge transfer — you are the technical owner from first workshop to final handoff.
• Serve as the primary technical point of contact for client stakeholders, including VPs, CIOs, and CTOs; run workshops, steering committees, and difficult conversations with credibility and calm.
• Architect agentic systems, RAG pipelines, and AI-augmented workflows across the Microsoft, OpenAI, and Anthropic ecosystems — Azure OpenAI, Azure AI Foundry, AI Search, Copilot Studio, the OpenAI platform (Responses API, Agents SDK), and the Anthropic platform (Claude API, Claude Agent SDK, MCP, skills) — choosing and composing them based on client fit, not vendor loyalty.
• Build and maintain the reference architectures, skills, prompts, and MCP servers the team reuses across clients.
• Help shape our growing OpenAI and Anthropic practices alongside our Microsoft work — enablement content, reference implementations, and the technical narrative we take to clients and partners.
• Pair with delivery leads and engineers on the hard parts — review designs, debug production issues, sharpen evals and guardrails.
• Translate between executive strategy and engineering reality; write clearly, present crisply, and disagree well.
• Contribute to internal IP: opinionated docs, short demo videos, and enablement sessions that upskill the rest of the team on what is actually working.
• Help shape hiring, tooling, and delivery practices as the AI landscape continues to shift.

Requirements

• 8+ years of enterprise software, data, or AI architecture experience, including at least 2 years architecting and shipping generative AI or agentic systems to production.
• Demonstrated leadership of complex, multi-stakeholder AI or software initiatives as the senior technical owner. This can come from either track — weight them equally: consulting or professional services (scoping, SOWs, delivery team coordination, client escalations), or an industry role leading internal programs end-to-end with business stakeholders, steering committees, and cross-functional delivery teams.
• Excellent stakeholder communication — written and verbal, to technical and executive audiences, whether those stakeholders are external clients or internal business partners. You can facilitate a whiteboard session, present a design review to a skeptical CIO (or your own VP of Engineering), and write a clean architecture document in the same week.
• Hands-on proficiency with the Azure AI stack: Azure OpenAI, Azure AI Foundry / AI Studio, AI Search, Document Intelligence, and at least one orchestration framework (Semantic Kernel, LangGraph, or equivalent).
• Hands-on proficiency with the OpenAI platform: Responses API, Agents SDK, functio