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 - $265,080.00
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.
- Most Relevant Skills
- Please see the requirements listed above.
- Other Relevant Skills
- For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date
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
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.
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