Forward Deployed AI Engineer

This is a hands-on, customer-facing engineering role at the intersection of AI, product, and implementation. You'll work directly with some of the largest insurance brokerages in the country—understanding their workflows, building AI automations on Fulcrum's platform, and shipping solutions within days, not months.

The role is ~70% coding and ~30% customer-facing scoping. You'll hop on a call with a customer to understand their problem, then build and deploy an agent that solves it—often in the same week. Everything you build feeds back into the platform, so your work scales beyond a single customer. You won't be doing pre-sales, demos, or upselling—deployment strategists handle that. Your job is to deeply understand the business domain and build.

This role is ideal for engineers who thrive at the intersection of customer empathy and technical execution, and who want to work on cutting-edge AI agents transforming a $1.5 trillion industry that hasn't seen real technology in 20 years.

What You Will Do

Own end-to-end implementation of enterprise customer engagements—from requirements gathering to deployed solution

Build and ship AI agents and automations on Fulcrum's platform, deepening adoption within our largest strategic accounts

Work directly with enterprise customers (post-sales) to understand business problems and scope technical solutions

Ship rapidly—expect to deliver working solutions within the same week as customer conversations

Integrate successful customer-specific work back into Fulcrum's core platform

Collaborate with product and engineering teams to translate customer insights into scalable features

About You

3–6 years of post-college engineering experience, no new grads

Customer-facing engineering experience—comfortable interfacing with enterprise customers regularly

Full-stack proficiency—comfortable shipping across front end and back end

Experience at a VC-backed startup (Series A+) funded by top-tier VCs

Degree from a top university (Ivies, Stanford, MIT, Berkeley, Duke, Harvey Mudd, UIUC, or equivalent)

Strong ownership mentality—you don't wait for process, you create it

Bonus Qualifications

Experience building or deploying AI/ML automations or agentic workflows in production

Proficiency in Python and/or TypeScript

Experience in insurance or financial services domain