Build an agentic AI platform to support end-to-end credit risk model development while leading delivery, architecture, and team execution.

Partner with quantitative model developers, Model Risk Management (MRM), and business leaders to translate stakeholder pain points into a technical vision and product roadmap
Identify, scope, and prioritize use cases for an agentic workflow platform that deliver measurable value and align to strategic objectives
Act as a primary technical liaison between engineering teams and users to maintain a tight feedback loop
Lead architectural design for a scalable, robust, secure agentic AI platform, including:
- Orchestration components
- Knowledge retrieval capabilities (e.g., RAG)
- Tool integration
Contribute hands-on engineering work for foundational components, proofs-of-concept, and complex technical challenges
Design and implement secure integrations with internal data sources, external APIs, and multiple LLMs in alignment with data governance and security policies
Establish CI/CD, testing, logging, and monitoring frameworks for a mission-critical enterprise application
Lead, mentor, and guide software engineers to promote technical excellence, innovation, and collaboration
Direct architectural decisions, enforce code quality best practices, and oversee agile development
Manage project timelines, resource allocation, and delivery of key platform milestones

10+ years of hands-on experience designing, building, and shipping complex, scalable software systems to production
Demonstrable experience with AI agentic solutions, including ad hoc data analysis, documentation, and workflow orchestration
Proven experience leading software development teams with technical mentorship, architectural guidance, and project oversight
Strong proficiency in Python and its ecosystem for backend development and data processing, plus modern AI frameworks such as LangChain
Hands-on experience building applications using Large Language Models (LLMs), including:
- Prompt engineering
- Retrieval-augmented generation (RAG)
- Agentic patterns
Solid system design background, including microservices architecture, REST APIs, and event-driven systems
Ability to communicate complex technical concepts to technical and non-technical stakeholders and translate business needs into technical requirements

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
Discretionary and formulaic incentive and retention awards (for eligible employees)
For additional information regarding Citi employee benefits, visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Experience in financial services, particularly in quantitative finance, risk management, or Model Risk Management (MRM) contexts
Understanding of the market and/or credit risk model development lifecycle (e.g., PD, LGD, EAD models) and related regulatory requirements (e.g., SR 11-7, CCAR, CECL)
Experience building auditable and compliant software in highly regulated environments
Familiarity with frontend technologies and building user interfaces for technical workflows
Experience with Java/C++ in addition to Python

Senior AI Engineer - Wholesale Credit Risk Analytics - Senior Vice President

Job Description