Senior Lead Python Engineer - Applications Development Group Manager - Senior Vice President

Citibank (Switzerland) AG; Rutherford, Northern (NJ, KY); Hybrid; USD 177,000 - 265,000; Full time

Job summary

Citi Rutherford, New Jersey, seeks a Senior Vice President and Senior Lead, Python Engineering to guide AI agent platforms, data ecosystems, and full-stack solutions for Retail and Wealth Risk. You will lead ~15 engineers, including AI-assisted developers, and drive AI PDLC, data governance, and regulatory reporting initiatives.

The role emphasizes architecture, governance, and collaboration with Risk, Finance, and Retail Banking stakeholders to deliver scalable, compliant technology platforms.

Qualifications

• 12+ years of experience in enterprise application development, data engineering, or AI platform engineering.
• 8+ years leading multi-team Agile organizations (20+ engineers).
• Advanced expertise in Python, PySpark, and Databricks ecosystem for large-scale data processing and ELT/ETL pipelines.
• Proven experience architecting enterprise AI/GenAI platforms with agentic AI frameworks and LLM integrations.
• Hands-on 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).
• Experience with event-driven architectures and streaming platforms (Kafka).
• Knowledge of data mesh, data federation, and regulatory data requirements.

Responsibilities

• Lead multiple agile scrum teams comprising ~15+ engineers, including hybrid AI-assisted teams.
• Define and execute enterprise strategy for Python engineering, AI agent platforms, and data apps.
• Serve as senior architect for AI agents, data pipelines, and microservices.
• Drive AI PDLC adoption, model governance, deployment, monitoring, and regulatory compliance.
• Architect data pipelines using PySpark, Databricks, Kafka; support CCAR/FDIC reporting and risk analytics.
• Lead GenAI agent ecosystems using LLMs with HITL for explainability and auditability.
• Oversee cloud-native architecture with FastAPI/Spring Boot, Kubernetes/OpenShift, CI/CD.
• Promote engineering standards, governance, and reuse across teams.
• Partner with Risk, Finance, and Retail Banking stakeholders to translate requirements.

Skills

Python

PySpark

Databricks

AI/GenAI platforms

Microservices

Kubernetes

OpenShift

React

Angular

Cloud platforms

DevOps

Client relationship management

Stakeholder management

Education

Bachelor's degree in related field

Master's degree preferred

Tools

Devin.AI

GitHub Copilot

Kafka

Databricks

Job description

## Senior Lead Python Engineer - Applications Development Group Manager - Senior Vice PresidentApply: Hybrid: Rutherford New Jersey United States: Full time: Posted Today: 26967439**Summary**We are seeking a highly motivated and experienced **Senior Vice President – Senior Lead, Python Engineering and Generative AI Platforms** to lead our Retail and Wealth Risk Engineering organization within Enterprise Risk Technology. This is a senior leadership role responsible for defining strategy, architecture, and execution of enterprise-scale AI agent platforms, Python-based data ecosystems, and full-stack solutions.The ideal candidate is a forward-thinking technology leader who can effectively manage Product based(PDLC) **teams comprising ~15+ engineers, including AI-assisted/virtual developers (e.g., Devin.AI, GitHub Copilot)**. You will be instrumental in driving the adoption of **AI Product Development Lifecycle (AI PDLC), regulatory-compliant data platforms, and scalable GenAI solutions**, while aligning technology initiatives with **Retail Risk, Wealth Risk, and regulatory programs such as CCAR (14Q/14A) and FDIC**.## **Responsibilities*** Lead multiple **agile scrum teams** comprising **~15+ engineers**, including hybrid teams of human engineers and AI-assisted development (Devin.AI, Copilot), ensuring delivery excellence and alignment with business priorities.* Define and execute the **enterprise strategy for Python engineering, AI agent platforms, and full-stack data applications**, aligned with Retail and Wealth Risk objectives.* Serve as the **senior architect and technical authority** for enterprise-scale **AI agents, data engineering pipelines, and microservices-based applications**, ensuring scalability, resilience, and security.* Drive the adoption and operationalization of **AI Product Development Lifecycle (AI PDLC)**, including model governance, evaluation, deployment, monitoring, and compliance with Model Risk Management (MRM).* Lead development of **high-volume data pipelines and data federation layers** using PySpark, Databricks, Kafka, and Data Mesh architecture to support **regulatory reporting (CCAR, FDIC) and risk analytics**.* Architect and oversee **GenAI agent ecosystems** using LLMs (Google ADK, Gemini/Flash), implementing **Human-in-the-Loop (HITL)** frameworks to ensure explainability, auditability, and compliance.* Drive **AI-augmented software development lifecycle**, integrating tools such as Devin.AI, GitHub Copilot, and MCP platforms through advanced prompt engineering and governance guardrails.* Lead **microservices and cloud-native architecture** using FastAPI/Spring Boot, Kubernetes/OpenShift, and CI/CD pipelines, ensuring high availability and performance.* Drive **engineering efficiency and standardization** by reusing and repurposing **enterprise-level frameworks, platforms, and tools**, reducing duplication and accelerating delivery across teams.* Ensure all engineering solutions incorporate **data governance and non-functional requirements**, including **Data Quality (DQ), data lineage, data tracing, and auditability**, aligned with enterprise governance processes and regulatory expectations.* Act as a key partner to **Risk, Finance, and Retail Banking stakeholders**, translating regulatory and business requirements into scalable engineering solutions.* Build and manage strong relationships with **senior business leaders**, leading strategic discussions, requirement gathering, and cross-functional alignment.* Establish **engineering standards, governance frameworks, and best practices** across teams, ensuring consistency, quality, and reuse.* Mentor senior engineers and engineering managers, fostering a culture of **innovation, accountability, and continuous improvement**.* Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by ensuring compliance with applicable laws, rules, and regulations, and escalating control issues with transparency.**Qualifications****Required:*** 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.**Preferred:*** 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).**Education*** Bachelor’s degree/University degree or equivalent experience.* Master’s degree is preferred.------------------------------------------------------## **Job Family Group:**Technology------------------------------------------------------## **Job Family:**Applications Development------------------------------------------------------## **Time Type:**Full time------------------------------------------------------## **Primary Location:**Rutherford New Jersey United States------------------------------------------------------## **Primary Location Full Time Salary Range:**$176,720.00 - $265,080.00In 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. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.