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

Citi; New York (NY); On-site; USD 177,000 - 265,000; Full time

Job summary

Citi is building a cutting-edge agentic AI platform to transform the credit risk model lifecycle. You will lead a hands-on, senior tech team collaborating with quantitative analysts and stakeholders to deliver high-impact use cases.

The role focuses on platform design, secure integrations, and scalable architecture, with a strong emphasis on governance and enterprise readiness. Jersey City, NY area location, full-time, with competitive benefits.

Qualifications

• 10+ years in designing and shipping scalable software systems.
• Hands-on AI agentic solutions experience.
• Proven leadership of a software team and architectural guidance.
• Deep Python expertise for backend and data processing.
• Experience with LLM-based apps, prompt engineering, RAG, and agentic patterns.
• Strong understanding of microservices, REST APIs, and event-driven systems.
• Excellent ability to communicate complex tech to diverse stakeholders.

Responsibilities

• Define technical vision and product roadmap with model developers and business leaders.
• Lead architectural design of a scalable, secure AI platform with orchestration and data access.
• Hands-on development of core components and proofs-of-concept.
• Implement secure integrations with data sources, APIs, and multiple LLMs.
• Establish CI/CD, tests, logging, and monitoring for enterprise deployment.
• Mentor and manage engineers, uphold code quality and agile processes.

Skills

Software engineering

AI agentic solutions

Team leadership

Python

Generative AI

Software architecture

communication

Tools

LangChain

Job description

Join a pioneering team at the forefront of financial technology innovation. We are building a cutting-edge, agentic AI platform designed to revolutionize the end-to-end credit risk model development lifecycle. By leveraging the power of Large Language Models (LLMs) and intelligent workflows, we aim to augment our quantitative modelers, dramatically increasing their productivity, enhancing model governance, and accelerating the delivery of critical risk models.

We are seeking a senior, hands-on technology leader to drive this transformation. In this role, you will partner directly with quantitative analysts and key stakeholders to shape the most impactful use cases and then lead a team of talented developers to design, build, and deploy the generative AI platform that brings this vision to life.

Key Responsibilities

• Strategic Vision & Stakeholder Partnership:
  • Collaborate closely with quantitative model developers, Model Risk Management (MRM), and business leaders to deeply understand their pain points and translate them into a technical vision and product roadmap.
  • Identify, scope, and prioritize use cases for the agentic workflow platform, ensuring they deliver measurable value and align with strategic objectives.
  • Serve as the primary technical liaison between the engineering team and its users, ensuring a tight feedback loop and continuous alignment.
• Platform Design & Hands-On Development:
  • Lead the architectural design of a scalable, robust, and secure agentic AI platform, including core components for orchestration, knowledge retrieval (e.g. RAG), and tool integration.
  • Engage in hands-on software development to build foundational components, create proofs-of-concept, and tackle the most complex technical challenges.
  • Design and implement secure integrations with internal data sources, external APIs, and various LLMs, ensuring compliance with all data governance and security policies.
  • Establish the CI/CD, testing, logging, and monitoring frameworks required for a mission-critical enterprise application.
• Team Leadership & Mentorship:
  • Lead, mentor, and inspire a team of software engineers, fostering a culture of technical excellence, innovation, and collaboration.
  • Guide the team's architectural decisions, enforce best practices for code quality, and oversee the agile development process.
  • Manage project timelines, resource allocation, and delivery of key platform milestones.

Qualifications

• Extensive Software Engineering Experience: 10+ years of hands-on experience designing, building, and shipping complex, scalable software systems to production.
• Demonstrable experience in AI Agentic solutions such a for ad hoc data analysis, documentations and workflow orchestration
• Team Leadership: Proven experience leading a software development team, including providing technical mentorship, architectural guidance, and project oversight.
• Expertise in Python: Deep proficiency in Python and its ecosystem of libraries for backend development and data processing and modern AI frameworks such as LangChain
• Practical Generative AI Experience: Demonstrable, hands-on experience building applications using Large Language Models (LLMs). This includes a strong understanding of prompt engineering, retrieval-augmented generation (RAG), and agentic patterns.
• Strong Architectural Skills: Solid understanding of system design, microservices architecture, REST APIs, and event-driven systems.
• Excellent Communication: Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders and to translate business needs into concrete technical requirements.

Nice-to-Have

• Financial Domain Knowledge: Experience in the financial services industry, particularly in a quantitative finance, risk management, or Model Risk Management (MRM) context.
• Familiarity with Model Development: Understanding of the market and/or credit risk model development lifecycle (e.g., for PD, LGD, EAD models) and associated regulatory requirements (e.g., SR 11-7, CCAR, CECL, etc.).
• Regulated Environments: Experience building auditable and compliant software within a highly regulated environment.
• Full-Stack Experience: Familiarity with frontend technologies and developing user interfaces for technical workflows.
• Broader Language Proficiency: Experience with Java/C++ in addition to Python.

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Job Family Group

Technology

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Job Family

Applications Development

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Time Type

Full time

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Primary Location

Jersey City New Jersey United States

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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.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date

Oct 02, 2026

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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

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