Senior Lead Python Engineer - Applications Development Group Manager - C14 - RUTHERFORD

• 12+ years of relevant experience in enterprise application development, data engineering, or AI platform engineering , with a strong track record of leadership in regulated environments.
• 8+ years of experience leading multi-team Agile organizations (20+ engineers) , including managing distributed and hybrid AI-assisted teams .
• Advanced expertise in Python, PySpark, and Databricks ecosystem for large-scale data processing and ELT/ETL pipelines.
• Proven experience architecting and implementing enterprise AI/GenAI platforms , including agentic AI frameworks, LLM integrations, and prompt engineering.
• Hands-on experience with AI-assisted development tools such as Devin.AI and GitHub Copilot and integrating them into engineering workflows.
• Strong experience with microservices architecture, APIs, and cloud-native deployment (Kubernetes/OpenShift) .
• Strong experience with event-driven architectures and streaming platforms (Kafka) .
• Deep understanding of data architecture, data mesh, data federation, and regulatory data requirements .
• Exceptional leadership, communication, stakeholder management, and decision-making capabilities.
• Experience with cloud platforms (AWS, Azure, GCP, Databricks) and modern data ecosystems.
• Familiarity with frontend technologies (React/Angular) for full-stack solution delivery.
• Proven client relationship management experience , with the ability to engage and influence senior business stakeholders , lead strategic discussions, and drive consensus across business and technology teams.

• Strong exposure to Retail lending/Credit Risk and Regulatory platforms , including CCAR (14Q/14A /14M), FDIC reporting, and enterprise risk aggregation .
• Deep Core Systems Expertise in Retail Banking domains such as: Cards, Mortgages, Loans, Wealth Lending, Finance and Risk data platforms
• Strong Business Domain Knowledge with experience working directly with Retail Banking and Risk organizations , including understanding of business processes, architecture, and infrastructure.
• Experience with containerization technologies (Docker, Kubernetes) and DevSecOps practices.
• Knowledge of AI Product Development Lifecycle (AI PDLC) and model governance frameworks .
• Relevant industry certifications (e.g., AWS/Azure Data/AI, Kubernetes).

• Bachelor’s degree/University degree or equivalent experience.
• Master’s degree is preferred.

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.

Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.

Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.

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Available offerings may vary by jurisdiction, job level, and date of hire.

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