Measurable Technical Delivery Track and report technical delivery outcomes (model performance, latency, accuracy, guardrail effectiveness) against defined engineering and business benchmarks.
How You'll Deliver
Apply Deep Technical Expertise Bring hands-on proficiency in GenAI/LLM engineering to solve enterprise-grade problems, staying current with emerging techniques (agentic AI, RAG, fine-tuning, prompt engineering) and applying them pragmatically to production systems.
Collaborate with Central AI and Business Teams Work as a technical partner with the firm's Central AI organization and business units, contributing architecture recommendations and technical designs that support process redesign and measurable change.
Contribute to Prioritization Discussions Provide technical feasibility assessments and effort estimates to business stakeholders and analytics leadership to support prioritization of high-impact AI solutions.
Uphold a Strong Controls Mindset Apply and follow control processes across Information Security, Platform Security, and Data Security in all technical work, ensuring GenAI solutions are built and deployed securely and compliantly.
Qualifications
Experience
6+ years in AI/ML, data science, or applied engineering roles within financial services or a similarly regulated industry
Demonstrated hands-on experience building and deploying Generative AI/LLM solutions in production environments
Practical experience supporting model risk management, regulatory remediation, and model documentation/governance processes
Experience working with AI/ML model lifecycles, including tuning, evaluation, and upgrades
Working knowledge of core banking data domains - marketing, customer management, call center operations, collections, complaints, and financial controls - sufficient to translate business requirements into technical solutions
Familiarity with credit card economics, customer behavior, and product strategy as they relate to data/AI use cases
Exposure to Model Risk Management, Fair Lending, and Compliance requirements in a regulated financial institution
Technical Skills
GenAI & ML: Generative AI, LLMs, RAG, Agentic AI, prompt engineering, LLM fine-tuning, NLP, supervised/unsupervised learning, mathematical optimization & decision science
Engineering & Infrastructure: MLOps/LLMOps, cloud-native AI platforms, big data, distributed computing, Spark, Python, SQL - strong hands-on coding ability expected
Governance & Testing: Building adversarial testing suites, guardrails, regulatory testing frameworks, and near real-time model monitoring solutions
Tooling: SDLC, version control (Bitbucket/GitHub), JIRA, CI/CD and DevOps practices
Regulatory Awareness: Working knowledge of SR 11-7, SR 26-2, OCC AI guidance, CFPB, Fair Lending, ECOA as they apply to AI/ML deployment within a regulated institution
Communication & Collaboration
Ability to work effectively as an embedded technical expert within cross-functional, matrixed teams
Strong stakeholder communication skills - able to explain technical concepts, trade-offs, and model behavior clearly to non-technical partners
Solid documentation and technical writing skills to support model governance and audit requirements
Comfortable presenting technical findings and demos to mid-to-senior audiences
Education
Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, or Economics) required
Master's degree preferred; Ph.D. a plus
Job Family Group:
Decision Management
Job Family:
Specialized Analytics (Data Science/Computational Statistics)
Time Type:
Full time
Primary Location:
New York New York United States
Primary Location Full Time Salary Range:
$157,040.00 - $235,560.00
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:
Sep 25, 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.
Illinois residents - AI Notice and Right (https://tbcdn.talentbrew.com/company/287/cms/v3/docs/policies/Illinois\Career\Supplement_a11y.pdf)
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