Senior AI Engineer
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Job Summary
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.
- 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.
Required Skills:
REMOTE from : EMEA APAC India Required Skills & Experience Essential Proven experience as a Data Consultant Data Migration Consultant or Data Integration Specialist. Strong experience working with Workday HCM implementations and migrations. Advanced SQL skills. Hands-on ETL development and data transformation experience. Experience with HR payroll and workforce data. Strong data validation reconciliation and quality assurance expertise. Experience coordinating data migration activities across multiple stakeholders. Knowledge of data governance principles and compliance requirements. Excellent analytical and problem-solving skills. Strong stakeholder management and communication skills. Desirable Experience working on global HR transformation programmes. Knowledge of Workday Payroll and Workday integrations. Experience with data migration tools and integration platforms. Familiarity with Agile project delivery methodologies. Understanding of GDPR and global data privacy regulations. Deliverables ETL design and implementation documentation. Data migration plans and execution reports. Data validation and reconciliation results. Data quality dashboards and issue logs. Governance and compliance documentation. Successful Workday data loads and cutover support. Success Measures Accurate and timely migration of HR and payroll data into Workday. High-quality validated data meeting business acceptance criteria. Successful integration between Workday and downstream systems. Compliance with governance audit and regulatory requirements. Delivery of project milestones within agreed timelines.
