Verified 5 days ago
Principal Data GENAI Platform Engineer
About the role
Enterprise Risk Technology at Citigroup leads the Retail and Wealth Risk Engineering organization, building enterprise-scale AI agent platforms, Python data ecosystems, and full‑stack solutions for regulatory reporting. The Principal Data GENAI Platform Engineer defines strategy, architects AI/GenAI platforms, and leads ~15‑engineer agile teams—including AI‑assisted developers—to deliver high‑volume data pipelines, microservices, and cloud‑native applications. Chennai, India, hybrid work model with on‑site collaboration, relocation assistance available.
What you’ll do
- Define and execute enterprise Python and AI agent platform strategy
- Lead ~15‑engineer agile teams including AI‑assisted developers
- Architect scalable data pipelines and microservices for risk analytics
- Drive AI Product Development Lifecycle and model governance
- Implement GenAI agent ecosystems with HITL frameworks
- Ensure data governance, quality, lineage, and compliance
- Partner with risk, finance, and retail banking stakeholders
- Mentor senior engineers and foster innovation
What you’ll bring
- 12+ years enterprise application development or data engineering
- 8+ years leading multi‑team Agile organizations
- Advanced Python, PySpark, Databricks expertise
- Architected enterprise AI/GenAI platforms with LLM integration
- Experience with AI‑assisted development tools (Devin.AI, Copilot)
- Microservices, Kubernetes/OpenShift, Kafka streaming
- Regulatory data platforms (CCAR, FDIC)
- Cloud platforms AWS/Azure/GCP
Skills
Benefits
- Competitive compensation
- Comprehensive health benefits
- Retirement savings plan
- Paid time off
- Professional development opportunities