Senior 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
What we are looking for
* Strong experience with Python at production level.
* Advanced SQL skills, including analytical queries and optimization
* Prompt engineering, function calling / tool use, ReAct or plan-and-execute patterns.
* Demonstrable experience building text-to-SQL or conversational-analytics systems.
* Working knowledge of Snowflake (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
What We Offer
* 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.