VP, Python & GenAI Platform Engineering

Citi Group; Rutherford (NJ); On-site; AUD 256,000 - 384,000; Full time

Benefits offered by this job

Generative AI platforms experience

Senior leadership role

Regulatory-aligned risk engineering

Job summary

Citi Group is seeking a Senior Vice President – Senior Lead, Python Engineering and Generative AI Platforms to spearhead the Retail and Wealth Risk Engineering organization within Enterprise Risk Technology. The role defines strategy, architecture, and execution for enterprise AI agent platforms and Python data ecosystems, leading 15+ engineers including AI-assisted developers.

You will drive the AI PDLC, data governance, and regulatory-compliant platforms supporting CCAR and FDIC programs,

Qualifications

• 12+ years of relevant experience in enterprise application development, data engineering, or AI platform engineering.
• 8+ years of experience 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 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.

Responsibilities

• Lead multiple agile scrum teams comprising ~15+ engineers, including hybrid teams of human engineers and AI-assisted development, ensuring delivery alignment with business priorities.
• Define and execute the enterprise strategy for Python engineering, AI agent platforms, and full-stack data applications.
• Serve as the senior architect and technical authority for AI agents, data pipelines, and microservices, ensuring scalability and security.
• Drive the 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 to support regulatory reporting and risk analytics.
• Architect and oversee GenAI agent ecosystems using LLMs, implementing HITL frameworks for explainability and auditability.
• Drive AI-augmented software development lifecycle with Devin.AI, Copilot, and MCP platforms through governance guardrails.
• Lead microservices and cloud-native architecture using FastAPI/Spring Boot, Kubernetes/OpenShift, and CI/CD pipelines.
• Drive engineering efficiency and standardization by reusing enterprise frameworks, platforms, and tools to accelerate delivery.
• Ensure data governance and non-functional requirements, including data quality, lineage, tracing, and auditability.

Skills

Python

PySpark

Databricks

AI platforms

Leadership

Agile

Kubernetes/OpenShift

Kafka

Data architecture

LLMs

Model governance

Cloud

Frontend tech (React/Angular)

Client management

Education

Bachelor’s degree

Master’s degree preferred

Tools

Devin.AI

GitHub Copilot

Job description

Citi Group is seeking a Senior Vice President – Senior Lead, Python Engineering and Generative AI Platforms to spearhead the Retail and Wealth Risk Engineering organization within Enterprise Risk Technology. The role defines strategy, architecture, and execution for enterprise AI agent platforms and Python data ecosystems, leading 15+ engineers including AI-assisted developers.

You will drive the AI PDLC, data governance, and regulatory-compliant platforms supporting CCAR and FDIC programs,