Lead Forward-Deployed AI Engineer
$130,000 - $200,000 per year
Apply (opens in a new tab)Lead Forward-Deployed AI Engineer
Posted 5 days ago
SENIORITY
Manager
SALARY
$130,000 - $200,000 per year
About the role
- Lead Forward-Deployed AI Engineer | US Pharma & Life Sciences | Remote (US) | $130,000-$200,000 base
- Our client is a fast-growing, VC-backed AI company building the next generation of services delivery: AI agent workforce's that do knowledge work inside a customer’s own environment, paid for on outcomes rather than seats. Life sciences is their largest sector, and they’re doubling down on it.
- Millions in ARR, with flagship pharma and CRO customers, including two of the five largest CROs3x ARR growth and 160% net revenue retention last year$51M raised from top-tier VCs and angels
- Proprietary reliability technology and causal reasoning IP that regulated enterprises trust
- They’re now establishing local technical delivery in the US and need a hands-on lead to own it.
- You’ll lead technical delivery for US pharma and life sciences customers. You’ll work onsite and independently, coordinating with UK engineers and the internal Value Engineering team.
- Lead customer discovery and turn real workflows into feasible scope, technical designs and measurable acceptance criteria
- Build and integrate agentic systems with enterprise data and APIs, owning evaluation, failure handling, testing and deployment
- Own delivery through to production and customer acceptance
- Guide engineers, review code and designs, and turn delivery lessons into reusable approaches
- This is not lab R&D, and it is not product or platform development (a separate team does that).What you’ll bring
- Personal ownership of production AI systems using Python, LLMs and agentic workflows, with measurable business impact
- Independent client delivery: leading onsite discovery, resolving blockers and communicating risk with minimal supervision
- A track record of leading a small engineering team or enterprise delivery workstream while staying hands-onExperience evaluating and operating reliable systems; pharma, life sciences or regulated-enterprise experience preferred
- Based within practical reach of a major US pharma hub, and willing to work regularly at customer sites
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