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