Lead AI Engineer

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side‑by‑side with a powerful collective of thinkers and experts shaping life‑changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client‑first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life‑changing impact to ZS. Our most valuable asset is our people. At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS’s Platform Development team is at the forefront of transforming the clinical trials landscape through cutting‑edge SaaS solutions. Our solution is dedicated to addressing the unmet needs of the industry by digitizing, automating, and enhancing intelligence in clinical studies, ultimately accelerating the delivery of new treatments to market. We are on the brink of significant growth, united by a shared mission to expedite effective treatments to patients. We’re looking for a Senior AI Engineer to help us push the boundaries of agentic AI in clinical development. You’ll build intelligent agents that ingest unstructured documents, reason over structured graphs, and generate contextual recommendations across protocol design and trial authoring workflows. Your work will power tools used by clinical scientists, feasibility leads, and medical writers to reduce cycle times, avoid amendments, and improve patient experiences. What You’ll Do Architect and implement LLM‑powered intelligent agents that support dynamic decision‑making and multi‑step task execution across the Trials.ai platform Build integrations between our agents and: Trials.ai’s Clinical Studies Ontology (RDF / OWL) Our Dynamic Data Graph and structured metadata layer Our NLP document ingestion pipeline (Banzai) Develop agent workflows that include retrieval‑augmented generation (RAG), scenario modeling, and user‑preference learning Engineer traceable, interpretable outputs with rationale surfacing for study recommendations and downstream document generation Contribute to overall architecture decisions, best practices, and ML / agent lifecycle management Partner with clinical SMEs, ontology leads, product managers, and full‑stack engineers to ensure alignment of intelligence with end‑user needs Drive continuous improvement in relevance, explainability, and system performance What You Bring 7+ years of experience building AI / ML systems, with 2+ years in agentic AI, LLM orchestration, or multi‑agent frameworks Strong software engineering background (Python is a must; FastAPI, LangChain, LangGraph, or TypeScript a plus) Hands‑on experience with: Core NLP techniques: named entity recognition (NER), text classification, keyword extraction, relation extraction LLM ecosystems: OpenAI, Anthropic, HuggingFace Retrieval & search: semantic search, embedding‑based retrieval, retrieval‑augmented generation (RAG) Vector databases: Pinecone, Qdrant, FAISS AI systems design: agent planning, context handling, memory chaining, observability Experience in building production‑ready AI / NLP solutions in a regulated, B2B, or healthcare context Excellent problem‑solving, code quality, and collaboration skills Bonus Experience Familiarity with clinical trial workflows, CDISC standards, or protocol design schemas Experience with agent orchestration libraries (CrewAI, AutoGen, ReAct, LangGraph, etc.) Experience with Graph‑based data models (RDF, OWL, Neo4j, or equivalent) Exposure to semantic web technologies (SPARQL, Protégé, BFO‑based ontologies) Contributions to open‑source AI or semantic projects Perks & Benefits ZS offers a comprehensive total rewards package including health and well‑being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on‑site presence at clients / ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face‑to‑face connections. Travel Travel is a requirement at ZS for client‑facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client‑facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. #J-18808-Ljbffr