AI Solutions Delivery Lead / Forward Deployed Engineer (US, Remote)

<p><b> This client has been fully vetted through the Braintrust network. This is a confidential search, and the client’s name and additional company details will be shared during the first conversation with the company’s recruiter. </b><br /><b>**Fully remote - US only**</b></p><h2> About the role </h2><p> The client is landing its first top-tier health &amp; life sciences account, and this role will lead the technical delivery of the engagement from discovery through production rollout. </p><p> You will work directly with client business, analytics, IT, and operational teams to identify high-value AI use cases, translate them into executable plans, and build solutions that work in the client’s environment. The deliverable is not simply a recommendation or executive presentation—it is a working system, integrated into real workflows, adopted by users, and ready for ongoing ownership. </p><p> This role sits at the intersection of technical program leadership, client delivery, and hands-on data analytics. You will own the full delivery plan: defining the problem, shaping the solution, coordinating the right teams, making implementation tradeoffs, writing code where needed, and driving the product into production. </p><p> You will partner closely with a product manager who owns the product roadmap and platform direction. You own the client implementation and delivery outcomes, ensuring the client experiences one coordinated team. </p><p> This is an early role in building the client's Health &amp; Life Sciences vertical. The work you deliver for the first marquee client will become the foundation for a repeatable implementation model for future regulated-industry customers. </p><h2> What you’ll own </h2><ul><li> Lead delivery of the engagement from discovery and solution design through implementation, launch, and handoff. </li><li> Translate ambiguous client needs into clear technical requirements, delivery milestones, system designs, and measurable outcomes. </li><li> Work directly with client business, analytics, IT, security, and operations teams to understand existing systems, workflows, data, and constraints. </li><li> Determine how the client's technology platform should integrate with the client’s environment, including APIs, data sources, identity and access patterns, workflow tools, and downstream systems. </li><li> Build and ship working solutions yourself, including prototypes, integrations, automations, evaluation workflows.. </li><li> Create the delivery plan and manage dependencies across internal and client teams, maintaining momentum when requirements, ownership, or data are incomplete. </li><li> Drive solutions through testing, iteration, deployment, user adoption, documentation, and operational handoff. </li><li> Establish practical standards for reliability, observability, evaluation, security, and change management appropriate for a regulated enterprise environment. </li><li> Partner with the product manager to distinguish client-specific implementation work from reusable product capabilities and shape feedback into the roadmap. </li><li> Communicate technical decisions, risks, tradeoffs, and progress clearly to both technical and executive stakeholders. </li><li> Turn the first engagement into a repeatable delivery playbook for additional Health &amp; Life Sciences customers. </li></ul><h2> What you’ll bring </h2><ul><li> Experience leading delivery for a client, business, or complex internal stakeholder group—owning the plan through a working production outcome. </li><li> Strong systems thinking: you can understand how people, processes, data, applications, and ownership fit together and identify what must change to make a solution work. </li><li> The ability to turn an ambiguous objective into a practical sequence of technical and operational decisions. </li><li> Strong client management skills across business, analytics, IT, and executive stakeholders. </li><li> Comfort operating in environments where requirements evolve, dependencies are unclear, and you must create structure without waiting for perfect information. </li><li> Clear, concise communication. You can explain architecture, implementation risk, and tradeoffs to technical teams and business leaders alike. </li><li> A bias toward ownership: when something needs to be figured out, built, tested, or unblocked, you take responsibility for moving it forward. </li><li> Experience working with frontier AI tools and a point of view on how to use them effectively in real-world delivery. </li><li> An advanced degree in engineering, computer science, statistics, economics, or a relevant discipline. </li></ul><p> Healthcare experience is valuable but not required. Experience in regulated industry is helpful because you’ll work with teams that care deeply about security, compliance, validation, review processes, and operational control. </p><h2> Nice to haves </h2><ul><li> Experience as a Quantitative pro, Forward Deployed Engineer, Data Analytics professional, Management Consultant, Solutions Architect, Technical Program Manager, Implementation Lead, Technical Consultant, Project Leader, or similar role. </li><li> Experience deploying generative AI, analytics, automation, or data products into enterprise environments. </li><li> Experience integrating with enterprise systems and working through security, procurement, privacy, or IT review processes. </li></ul>