AI Engineer

We are looking for an AI Engineer / Agent Developer to design and build advanced conversational solutions that enable users to interact with complex data in a simple, reliable, and explainable way. This role focuses on developing intelligent agents that transform natural language into actionable insights, operating within a highly governed and data-driven environment. You will work closely with cross-functional teams across data, analytics, and product to deliver scalable, high-impact AI capabilities. What you will do Build and iterate the conversational analytics agent end-to-end: query understanding, SQL generation, execution, response synthesis, explainability and citations. Implement guardrails: scope enforcement, hallucination detection, traceability for high-stakes clinical answers. Select an orchestration pattern proportionate to PoC evidence (linear plan-act-reflect, ReAct, or multi-agent) and document the rationale. Model access: integrate with Apollo gateway; follow cross-region inference and model-routing conventions defined by the central platform team Data access: implement purpose-bound data scoping (objects, attributes, row-level) per user function; align with the data-platform team on the chosen mechanism (Snowflake RBAC, row-level security, MCP, or a combination) Integrate the agent with central semantic assets owned by the Data Foundation team: business glossary, KPI definitions, semantic views, ontology references. Contribute use-case-specific semantic enrichments back into the central layer. Design for re-hookability as the OMA warehouse migrates into the Medicine Data Foundation. Design and operate a structured evaluation harness: SQL correctness, answer faithfulness, regression on a golden-question set. Maintain a verified-query repository for OMA clinical use cases (CDO, QM, RA domains). Apply statistical rigor: confidence intervals, regression gates, drift detection. Run adversarial / red-team testing in close loop with clinical analysts. Observability for agent traces using one chosen tool (LangSmith or equivalent): plan generation, tool calls, intermediate outputs. Monitor latency, token cost, error rates; collaborate with platform and FinOps on cost attribution and quota policy. IT EDP Medicine Data & Analytics

Strong experience withPythonat production level. Advanced SQLskills, including analytical queries and optimization Prompt engineering, function calling / tool use, ReAct or plan-and-execute patterns. Demonstrable experiencebuilding text-to-SQLor conversational-analytics systems. Working knowledge ofSnowflake(data modeling, SQL, basic Cortex concepts). Agent-orchestration capability, either: LangGraph (for custom-build track) OR a vendor agent platform such as Snowflake Intelligence, Cortex Analyst, or comparable. Working experience with structured evaluation frameworks(Ragas OR DeepEval)and/or observability tools (LangSmith, Weights & Biases, Arize, or equivalent). Working in regulated, governance-first environments: RBAC, data classification, audit trails, responsible-AI guardrails. Advanced English Level. Nice To Have Snowflake Cortex deep experience: Cortex Analyst, Semantic Views, Cortex Search. Apollo / internal-LLM-gateway integration experience, or willingness to ramp quickly. Clinical-operations domain awareness (a paired OMA clinical analyst is part of the working setup). Knowledge graph / ontology experience (relevant for Phase 2 when EKG integration becomes active). Infrastructure-as-code for Snowflake (Terraform, Schemachange, SnowCLI). Containerization basics (Docker, Kubernetes) for custom agent services on the build track. Familiarity with FAIR data principles, CDISC, or DDF

Permanent contract through Hays. Flexible remote working model, with one day per month on-site at the office in Sant Cugat del Vallès, Barcelona. Competitive salary package. Work on a high-impact internal platform used by global teams Join a stable, innovation-driven pharmaceutical environment with a long-term mindset Opportunity to contribute to automation and future AI initiatives in a regulated, meaningful industry If you're passionate about building impactful solutions and want to be part of a collaborative, forward-thinking team, we'd love to hear from you.