Lead Forward-Deployed AI Engineer

Posted Yesterday
Hiring Remotely in District of Columbia, USA
Remote
130K-200K Annually
Expert/Leader
Artificial Intelligence • Machine Learning • Software
The Role
Lead hands-on delivery of production AI and agentic systems for US pharma and life sciences customers. Translate customer workflows into technical designs, build integrations with enterprise data and APIs, manage evaluation, testing, failure handling, deployment, and customer acceptance. Guide engineers, review code, coordinate with UK colleagues and Value Engineering, and develop reusable delivery practices. The role is customer-facing and requires regular onsite work rather than laboratory R&D or internal product development.
Summary Generated by Built In

Why causaLens

  • The next Accenture will have no employees. We are building it.

  • We are partnering with both sides of the industry: helping CROs, CCOs, consultancies and BPOs reimagine how they deliver services, and partnering directly with pharma companies of every size, from mid-market to global leaders.

  • We build Digital Workers: pre-skilled AI workforces that do knowledge work inside the customer's own environment and are paid for the outcome, not the seat.

  • We build with pharma services. Our Digital Workers already run inside two of the five largest CROs, helping partners like Syneos Health and Parexel deliver more for their pharma clients. Read our press release with Syneos' Global Head of Commercial Product: [link]

  • AI tools alone have not moved the P&L. MIT found 95% of organisations saw no return on $30 to 40B of GenAI spend. We sell finished work with SLAs, not software, so the value shows up in results.

  • Pharma runs on trusted service partners. About half of drug development is outsourced, and $300B+ of branded sales lose exclusivity by 2032. Digital Workers give that ecosystem the extra capacity and cost efficiency the next decade demands.

  • Life sciences is our largest sector, and where we are doubling down. Millions in ARR, flagship logos including J&J, Syneos Health and Parexel, with more of the largest CROs and brands onboarding now.

  • $51M raised from top VCs and angels, including the CEO of Revolut. 3x ARR growth and 160% net revenue retention last year.

  • Unique IP that regulated enterprises trust: Our Digital Worker harness incorporates unique, proprietary reliability technology (causalens.com/the-reliability-features) and causal reasoning (causalens.com/causal-reasoning-lab).

  • Ownership. Help establish local technical delivery in the US, working directly with customers and collaborating with our UK engineers.

The Culture

Our culture values intellectual rigour, ownership and the primacy of winning. Two articles that define how we think:

  • A Hiring Framework for a New Kind of Services Company — anjor.xyz

  • The Primacy of Winning — piratewires.com

The Role

Lead hands-on technical delivery for US pharma and life sciences customers, operating independently onsite and coordinating with UK engineers and Value Engineering.

What you'll bring

  • Personal ownership of production AI systems using Python, LLMs and agentic workflows, with sound software engineering and measurable business impact

  • Independent client delivery: lead onsite discovery, clarify requirements, resolve technical blockers and communicate risks, with limited day-to-day supervision

  • A track record of leading a small engineering team or enterprise delivery workstream from discovery through production, staying hands-on and accountable for technical outcomes

  • Experience evaluating and operating reliable systems. Pharma, life sciences or regulated-enterprise delivery experience is preferred

  • Based within practical reach of a named US pharma hub and willing to work regularly at customer sites

What you'll do

  • Lead customer discovery and turn workflows into feasible scope, technical designs and measurable acceptance criteria

  • Build and integrate agentic systems with enterprise data and APIs; own evaluation, failure handling, testing and deployment

  • Own technical delivery through production and customer acceptance, partnering with Value Engineering on scope, dependencies and progress

  • Guide engineers, review code and designs, collaborate with UK colleagues and turn delivery lessons into reusable approaches

What you'll not do

— R&D in the lab, isolated from customers

— Product or platform development. There is a separate team internally for this

Benefits
We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a great work-life balance, we offer the following:

  • 20 days of paid holiday, plus bank holidays

  • carry over/sell holiday options (up to 5 days)

  • Share options

  • Referral bonus program

  • Learning and development budget

Logistics

  • Recruiter Screen

  • Hiring Manager / Team Interview (30 mins): Deep dive into past projects, recent

    codebases

  • Take-Home Challenge (3 hours): Testing structured thinking and practical

    coding/problem-solving.

  • "Day 0" Onsite (Hammersmith): * 3 x 30-minute technical interviews.

    -Founders/Exec Interview

If you require accommodations during the application process or in your role at causaLens, please contact us at [email protected]

Skills Required

  • Experience owning production AI systems using Python, large language models, and agentic workflows, with measurable business impact.
  • Experience leading independent client delivery, including onsite discovery, requirements clarification, technical issue resolution, and risk communication.
  • Experience leading a small engineering team or enterprise delivery workstream from discovery through production while remaining hands-on.
  • Experience evaluating and operating reliable production systems.
  • Residence within practical reach of a named US pharma hub and willingness to work regularly at customer sites.
  • Pharma, life sciences, or regulated-enterprise delivery experience.
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The Company
HQ: London
64 Employees
Year Founded: 2017

What We Do

causaLens are the pioneers of Causal AI — a giant leap in machine intelligence. We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our decisionOS operating system empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans trust machines with the greatest challenges in the economy, society and healthcare. For more information visit www.causaLens.com or contact us on [email protected]

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