Lead AI Field Architect

Boomi

20h•$155,000 - $214,000•Remote

About The Position

Boomi, the data activation company for AI, powers the agentic enterprise by bringing data to life across the business. The award-winning Boomi Enterprise Platform is the active data foundation that delivers essential agentic infrastructure enabling organizations to drive agentic transformation and harness the power of AI with secure, scalable connectivity. Trusted by over 30,000 customers and supported by a network of 800+ partners, Boomi helps organisations of all sizes achieve agility, efficiency, and innovation at scale. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big.

Requirements

Something you taught yourself and built because you wanted to. 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. Demonstrated initiative here weighs more with us than credentials.
A working habit of building with AI. You reach for AI tools when you build, and you have genuine judgment about them: you prompt well, you catch subtle errors, and you verify before you ship.
Cloud and API fundamentals. Hands-on experience with at least one major cloud (AWS, GCP, or Azure) and real work with enterprise APIs in production contexts.
Familiarity with the modern AI stack. Practical experience with AI architecture, agentic workflows, and standards like Model Context Protocol (MCP). You’ve thought through tradeoffs, not just followed tutorials.
Some exposure to local model infrastructure. You’ve run or experimented with local model deployments using something like vLLM, MLX, or similar.
A sense for enterprise IT. Enough understanding of enterprise infrastructure and data pipelines to reason credibly about where orchestration fits in a customer’s environment.
Clear communication and composure. 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.

Responsibilities

Build, hands-on. You'll ship working things in your first few weeks: agents, integrations, and prototypes that run, not concepts on a slide. You'll use AI-assisted development heavily to move quickly, and you'll know how to check what it produces. You'll own technical design, prototyping, and deployment of agentic workflows.
Tell the story behind the build. Turn what you’ve built into demos, value narratives, and material an executive can follow. On a “Find, Prove, Deliver” team, the prototype and the story around it both matter.
Partner with technical stakeholders. Work with customer IT teams and engineering leaders to understand their infrastructure, find AI opportunities, and connect agentic capabilities to their business goals. You’ll hold your own in front of senior executives.
Deploy and optimize models. Set up and manage model deployments across cloud-hosted environments and local deployment frameworks.
Shape the product. Bring what you learn in the field back to our product and engineering teams, point out gaps in our prebuilt capabilities, and help steer the roadmap.
Raise the team’s game. Document how we deliver, improve our playbooks, and share what you know.