Principal Data Genai Platform Engineer - Senior Vice President Job at Citi (Chennai)

Job Responsibility

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

Requirements

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
Bachelor's degree/University degree or equivalent experience

Nice to have

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)
Master's degree is preferred

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Principal Data Genai Platform Engineer - Senior Vice President

Job Responsibility

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