Senior AI Engineer

This is a remote position.

• 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.
  

Requirements

• 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.
  

What is the mission about?