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

Summary

We are seeking a highly motivated and experiencedSenior 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 ofAI Product Development Lifecycle (AI PDLC), regulatory-compliant data platforms, and scalable GenAI solutions, while aligning technology initiatives withRetail Risk, Wealth Risk, and regulatory programs such as CCAR (14Q/14A) and FDIC.

Responsibilities

• Lead multipleagile scrum teamscomprising~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 theenterprise strategy for Python engineering, AI agent platforms, and full-stack data applications, aligned with Retail and Wealth Risk objectives.

• Serve as thesenior architect and technical authority for enterprise-scaleAI agents, data engineering pipelines, and microservices-based applications, ensuring scalability, resilience, and security.

• Drive the adoption and operationalization ofAI Product Development Lifecycle (AI PDLC), including model governance, evaluation, deployment, monitoring, and compliance with Model Risk Management (MRM).

• Lead development ofhigh-volume data pipelines and data federation layers using PySpark, Databricks, Kafka, and Data Mesh architecture to supportregulatory reporting (CCAR, FDIC) and risk analytics.

• Architect and overseeGenAI agent ecosystems using LLMs (Google ADK, Gemini/Flash), implementingHuman-in-the-Loop (HITL) frameworks to ensure explainability, auditability, and compliance.

• DriveAI-augmented software development lifecycle, integrating tools such as Devin.AI, GitHub Copilot, and MCP platforms through advanced prompt engineering and governance guardrails.

• Leadmicroservices and cloud-native architecture using FastAPI/Spring Boot, Kubernetes/OpenShift, and CI/CD pipelines, ensuring high availability and performance.

• Driveengineering efficiency and standardization by reusing and repurposingenterprise-level frameworks, platforms, and tools, reducing duplication and accelerating delivery across teams.

• Ensure all engineering solutions incorporatedata governance and non-functional requirements, includingData Quality (DQ), data lineage, data tracing, and auditability, aligned with enterprise governance processes and regulatory expectations.

• Act as a key partner toRisk, Finance, and Retail Banking stakeholders, translating regulatory and business requirements into scalable engineering solutions.

• Build and manage strong relationships withsenior business leaders, leading strategic discussions, requirement gathering, and cross-functional alignment.

• Establishengineering standards, governance frameworks, and best practices across teams, ensuring consistency, quality, and reuse.

• Mentor senior engineers and engineering managers, fostering a culture ofinnovation, 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 inenterprise application development, data engineering, or AI platform engineering, with a strong track record of leadership in regulated environments.

• 8+ years of experience leadingmulti-team Agile organizations (20+ engineers), including managingdistributed and hybrid AI-assisted teams.

• Advanced expertise inPython, PySpark, and Databricks ecosystem for large-scale data processing and ELT/ETL pipelines.

• Proven experience architecting and implementingenterprise AI/GenAI platforms, including agentic AI frameworks, LLM integrations, and prompt engineering.

• Hands-on experience withAI-assisted development tools such as Devin.AI and GitHub Copilot and integrating them into engineering workflows.

• Strong experience withmicroservices architecture, APIs, and cloud-native deployment (Kubernetes/OpenShift).

• Strong experience withevent-driven architectures and streaming platforms (Kafka).

• Deep understanding ofdata architecture, data mesh, data federation, and regulatory data requirements.

• Exceptional leadership, communication, stakeholder management, and decision-making capabilities.

• Experience withcloud platforms (AWS, Azure, GCP, Databricks) and modern data ecosystems.

• Familiarity withfrontend technologies (React/Angular) for full-stack solution delivery.

• Provenclient relationship management experience, with the ability to engage and influencesenior business stakeholders, lead strategic discussions, and drive consensus across business and technology teams.

Preferred:

• Strong exposure to Retail lending/CreditRisk and Regulatory platforms, includingCCAR (14Q/14A /14M), FDIC reporting, and enterprise risk aggregation.

• DeepCore Systems Expertise in Retail Banking domains such as: Cards, Mortgages, Loans, Wealth Lending, Finance and Risk data platforms

• StrongBusiness Domain Knowledge with experience working directly withRetail Banking and Risk organizations, including understanding of business processes, architecture, and infrastructure.

• Experience withcontainerization technologies (Docker, Kubernetes) and DevSecOps practices.

• Knowledge ofAI Product Development Lifecycle (AI PDLC) andmodel 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.

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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. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right

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