Lead AI Field Architect
$155,000–$214,000 year
RemoteUnited States
United StatesRemoteFull Time$155,000–$214,000 yearSenior LevelSoftwareLarge
Full TimeSenior LevelLargeSoftware
Job Summary
Build, ship, and optimize agentic workflows using AI-assisted development, managing model deployments across cloud and local environments while verifying outputs. Partner with customer IT teams and engineering leaders to translate infrastructure needs into actionable AI solutions, presenting technical designs and value narratives to senior executives. Shape product roadmaps by identifying gaps in prebuilt capabilities and document delivery playbooks to elevate team standards. Work within a "Find, Prove, Deliver" framework to turn AI capabilities into running systems for complex enterprise accounts.
Required Qualifications
- Hands-on experience with at least one major cloud (AWS, GCP, or Azure)
- Real work with enterprise APIs in production contexts
- Practical experience with AI architecture, agentic workflows, and standards like Model Context Protocol (MCP)
- Experience running or experimenting with local model deployments using something like vLLM, MLX, or similar
- Enough understanding of enterprise infrastructure and data pipelines to reason credibly about where orchestration fits in a customer's environment
- Clear communication and composure
- PST or MST preferred
Desired Qualifications
- A side project, a model you ran locally, a system you took apart to understand — ideally one you built with AI and can walk us through: where the model helped, where it was wrong, and how you knew the difference
- A working habit of building with AI
- You prompt well
- You catch subtle errors
- You verify before you ship
- You've thought through tradeoffs, not just followed tutorials
- You can explain complex ideas simply
- You can tell a senior stakeholder 'I don't know yet, but here's how I'd find out' without losing your footing
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