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# AI Engineer

- **Company:** Simon-Kucher & Partners
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, ARM Architecture, Clinical Data Repository, Continuous Integration, Data Governance, Data Security, Python (Programming Language), Role-Based Access Control, Regression Testing, SQL Databases, ReactJS, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Generative AI, Data Analytics, Performance Monitor, Natural Language Understanding
- **Published:** September 11, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ Fluent English
 + Strong experience building LLM-based applications, text-to-SQL or conversational analytics solutions.
 + Strong hands-on experience with Python and advanced SQL.
 + Experience with LLM patterns including prompt engineering, function calling, tool use and agent orchestration.
 + Experience with Snowflake and familiarity with Snowflake Cortex capabilities.
 + Experience with LangGraph or similar agent frameworks.
 + Familiarity with evaluation tools such as Ragas or DeepEval and observability platforms such as LangSmith, Weights & Biases, Arize or equivalent.
 + Experience working in regulated or governance-first environments, including RBAC, auditability and responsible-AI controls.
 + Strong software-engineering, testing and CI/CD practices.
 + Experience within pharma, healthcare, life sciences or another regulated industry is highly valued.

## Description

This is a remote position.
We are looking for a Senior AI Engineer / Agent Developer to join our consulting team and collaborate closely with one of our key clients in the pharmaceutical sector.
You will contribute to a strategic Data & Analytics initiative focused on building an enterprise-grade conversational analytics agent for governed clinical data, combining Generative AI, agentic systems, advanced analytics and data governance.
Scope & Main Responsibilities

 + Design and develop a conversational analytics agent covering natural-language understanding, text-to-SQL, query execution, answer synthesis, explainability and source citation.
 + Implement LLM agent architectures and orchestration patterns such as ReAct, plan-and-execute or multi-agent workflows.
 + Build guardrails for hallucination prevention, traceability, scope enforcement and responsible AI.
 + Integrate the agent with Snowflake, semantic-layer assets, business glossaries and KPI definitions.
 + Implement secure data-access controls including RBAC and row-level security.
 + Define and maintain structured AI evaluation frameworks covering SQL correctness, answer faithfulness, regression and drift.
 + Implement observability, tracing and performance monitoring for agent behaviour, latency, token usage and errors.
 + Establish CI/CD and automated regression testing for prompts, agent configurations and semantic artefacts.
 + Collaborate with Data, Platform, AI Governance and Clinical Analytics teams.


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