Senior Python Engineer - Applications Development Sr Programmer Analyst - C12 - RUTHERFORD

Overview As Principal Engineer, you will design, build, and maintain scalable data pipelines and AI-enabled data platforms within Retail and Wealth Risk Engineering. You will shape the Enterprise Risk Technology stack and drive adoption of cutting-edge AI, big data, and data federation across the organization. The role emphasizes delivering high-volume ELT/ETL processes, microservice integrations, and governance for data quality and security. You will collaborate with cross-functional teams to advance risk analytics, automation, and decision support, while upholding compliance and risk controls. This is a high-impact opportunity to help Citi scale data-driven risk insights and AI-enabled workflows. Compensation / Benefitsmedical, dental & vision coverage401(k)life, accident, and disability insurancewellness programspaid time offpaid holidays ResponsibilitiesDesign, develop, and maintain scalable AI-enabled data pipelines and ELT/ETL processes using Python, PySpark, Kafka, and Databricks ecosystemBuild and deploy GEN AI agents with Google ADK and LLMs to automate applications and provide deep insights with human-in-the-loop workflowsDevelop data federation layers for lambda and Data Mesh architectures (e.g., Starburst) and define AI-driven use-case strategiesImplement and automate microservice integrations to support data-intensive applications on cloud-native infrastructure (OpenShift/Kubernetes) with CI/CDLeverage agentic AI tools and platforms (e.g., Devin.AI, Github Copilot, MCP) through advanced prompt engineering to boost development/ops efficiencyEnsure data quality, integrity, and security across the data lifecycleContribute to data engineering standards and best practices, and support risk-aware decision-making and complianceAssess risk in business decisions and escalate control issues while safeguarding Citi, clients, and assets Key requirements8+ years in large-scale application development with recent experience deploying AI agents in production5+ years leading Python and PySpark engineering for enterprise-grade ELT/ETL in Databricks ecosystemHands-on experience with agentic AI development and integrations (YAML/JSON, FAST API or Spring Boot, Google ADK, LLM integrations)Experience automating microservice integrations for data-intensive appsProficiency in Python or Scala and strong SQL with relational databasesDeep understanding of data modeling, data warehousing, Data Mesh, and data federationExcellent communication and collaboration skillsstrong communicationproblem-solvingcollaborationPythonPySparkDatabricks