Summary
Cyclotron’s AI Engineering team is hiring a Senior AI Architect to lead the design and delivery of production AI systems for our enterprise clients. This is a hands‑on, client‑facing architect role: you will own engagements end‑to‑end — scoping, architecture, delivery leadership, and the executive conversation. Our practice is anchored in the Microsoft stack and actively extending across the OpenAI and Anthropic platforms, so we expect you to be fluent across all three and pragmatic about which one is right for a given problem.
More than the usual architect role, we are looking for someone visibly, obviously engaged with this space: you have been building real agentic solutions, you ship with AI coding tools every day, and you have informed opinions on where agents, skills, MCP, and evals are heading next.
- 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.
- 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, Lang Graph, or equivalent). - Hands‑on proficiency with the OpenAI platform:
Responses API, Agents SDK, function calling, structured outputs, and evals — you have shipped something on it, not just read the docs. - Hands‑on proficiency with the Anthropic platform:
Claude API, tool use, Claude Agent SDK, MCP, and skills — again, demonstrated through work you can walk us through. - Informed judgment on when to reach for which model and platform — GPT family, Claude family, Gemini, open‑weights — and the trade‑offs (capability, cost, latency, data residency, eval posture) that drive the call.
- Microsoft Certified — Azure AI Engineer Associate and Azure Solutions…
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