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

Citi; Jersey City (NJ); Presencial; USD 177.000 - 265.000; Jornada completa

Descripción de la vacante

Citi is seeking a senior technology leader to drive the transformation of a cutting-edge, agentic AI platform in the Jersey City area. You will partner with quantitative analysts and stakeholders to define impactful use cases and then lead a team of developers to design, build, and deploy the platform that powers end-to-end credit risk model development.

You will steer architectural decisions, ensure governance, and guide the team through agile execution while delivering scalable, secure

Formación

• 10+ years hands-on software engineering experience designing and shipping scalable systems.
• Demonstrable experience in AI agentic solutions for ad hoc data analysis, documentation, and workflow orchestration.
• Proven software development team leadership including mentorship, architecture guidance, and project oversight.
• Deep proficiency in Python and its ecosystem for backend development and data processing, plus modern AI frameworks such as LangChain.
• Hands-on experience building apps with large language models (LLMs), including prompt engineering, RAG, and agentic patterns.
• Strong architectural skills with system design, microservices, REST APIs, and event-driven systems.
• Excellent communication skills to translate business needs into concrete technical requirements.

Responsabilidades

• Collaborate with quantitative model developers, MRM, and business leaders to translate pain points into a technical vision and roadmap.
• Identify, scope, and prioritize use cases for the agentic platform and align with strategic objectives.
• Serve as the technical liaison between the engineering team and users to ensure alignment and feedback.
• Lead architectural design of a scalable, secure agentic AI platform with orchestration, retrieval, and tool integration.
• Contribute hands-on development to build core components and proofs-of-concept.
• Design secure integrations with internal data sources and external APIs while ensuring governance.
• Establish CI/CD, testing, logging, and monitoring for an enterprise-grade app.
• Lead, mentor, and inspire engineers; enforce code quality and agile processes.
• Manage timelines, resources, and delivery of platform milestones.

Conocimientos

AI/Agentic development

Python

LLM / Generative AI

Team leadership

REST APIs / microservices

Communication

Architectural design

Data governance / security

Herramientas

LangChain

Descripción del empleo

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.

Job Family Group

Technology

Job Family

Applications Development

Time Type

Full time

Primary Location

Jersey City 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

Oct 02, 2026

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.

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