Digital & Data
AI Engineer
Opportunity summary
As our next AI Engineer, you will contribute to solving meaningful challenges across the life sciences industry. We offer specialised management consulting services, working with top-tier life sciences companies as well as biotech startups — locally and globally. From strategy development to hands-on implementation, we support our clients were impact matters most. About the role Generative and agentic AI has moved from demos to production. With this, one of our key focus areas is building products with an agentic AI engine at their core that are reliable, secure, auditable, and good enough to put in front of a medical writer or a regulatory reviewer. That challenge has two halves: The AI engine: Orchestration, retrieval, context engineering, tool use, guardrails, and the evals and observability that make an agentic system able to solve business-critical tasks in a regulated environment. The product around it: The UI, APIs, services, data layers, integrations, and deployment that turn that engine into robust, secure, scalable software customers depend on. Today these two halves often pull against each other. We are building a team where they pull together. As an AI Engineer, you will focus on the AI engine itself: designing, building, evaluating, and improving agentic systems that solve real business problems in highly regulated environments1 …
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