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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 .
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
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 .
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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.
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.
Global financial services organization enabling growth and economic progress.
Visit company websiteJobs and hiring trendsUSD 176720-265080 yearly / year
Full-time
Senior · 12+ years experience
Hybrid
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