Applied AI Engineering Director for Banking Technology
Jersey City, New Jersey, United States · Hybrid
$170k–$300k/yr
Senior+$3.6B raised
Applied AI Engineering Director for Banking Technology (Hybrid) Role Summary We are looking for a highly motivated, hands-on Applied AI Engineering Senior Lead for Banking Technology to lead the design, development, and …
Skills: Artificial Intelligence, Machine Learning, Natural Language Processing, Large Language Models, Retrieval-Augmented Generation
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Jersey City, New Jersey, United States · On-site
$143k–$190k/yr
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$170k–$300k/yr
Full-time
bachelor degree, postgraduate degree
Medical coverage, Dental coverage, Vision coverage, 401(k), Life insurance, Accident insurance
Posted 9d ago
~40 hrs/week
Responsibilities
The Applied AI Engineering Director will lead the design and deployment of AI-first solutions to drive automation and data-driven decision-making across the Banking division. This role involves architecting scalable AI systems, managing data pipelines, and ensuring all models meet strict governance and compliance standards.
Requirements
Candidates must have 15+ years of experience in data science and AI engineering, with at least 4 years in a leadership capacity within regulated environments. Deep technical expertise in LLMs, NLP, and Agentic AI frameworks is required, along with a strong understanding of investment banking workflows.
Full job description
Applied AI Engineering Director for Banking Technology (Hybrid)
Role Summary
We are looking for a highly motivated, hands-on Applied AI Engineering Senior Lead for Banking Technology to lead the design, development, and deployment of cutting-edge, AI-first solutions for our Banking division, covering Investment, Corporate, and Commercial Banking. This pivotal role will bridge the front office with advanced technology, championing an AI-first mindset to drive intelligent automation and data-driven decision-making directly into the heart of dealmaking processes. The ideal candidate will combine deep, hands-on AI engineering expertise with a strong understanding of the investment banking ecosystem, business workflows, and the secure, enterprise-scale deployment of Agentic AI solutions.
Key Responsibilities
Strategic AI Leadership: Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation. Develop and execute a comprehensive AI engineering roadmap aligned with Banking tech strategy and enterprise architecture.
AI Engineering & Architecture: Lead the design and development of scalable, robust AI systems, including advanced Large Language Models (LLMs), Natural Language Processing (NLP), knowledge graphs, and machine learning pipelines. Architect and implement secure, compliant Agentic AI solutions that seamlessly integrate with market data, CRM, internal knowledge bases, and document repositories.
Data Strategy: Drive the strategic integration of both structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data, enabling advanced insights and sophisticated AI model training. Oversee data engineering and ML feature pipelines in close collaboration with data teams.
Productization & Delivery: Convert innovative proofs-of-concept into scalable, enterprise-grade tools and Agentic AI solutions. Embed AI capabilities directly into banker workflows via intuitive agents, dynamic dashboards, and smart document assistants, ensuring real-world impact.
Governance & Compliance: Establish and enforce rigorous standards to ensure all AI systems meet internal requirements for explainability, fairness, and compliance with regulatory obligations. Collaborate proactively with risk, legal, and compliance teams on AI model governance.
Team Building & Leadership: Recruit, mentor, and lead a high-performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of continuous innovation, delivery excellence, and strong business alignment.
Qualifications
Must-Have Skills & Experience
15+ years of industry experience, primarily in data science and AI engineering, with a minimum of 4 years in a leadership role, preferably within financial services or other highly regulated enterprise environments.
Demonstrated success in building and deploying impactful AI applications, particularly in investment banking, asset management, or capital markets domains.
Deep, hands-on technical expertise in machine learning (ML), natural language processing (NLP), large language models (LLMs), retrieval-augmented generation (RAG), and modern MLOps practices.
Proven experience in building and deploying Agentic AI solutions using frameworks like Google ADK, Langraph, etc, showcasing a strong AI-first approach to problem-solving.
Strong experience working with both structured financial datasets and diverse unstructured data sources (e.g., regulatory filings, call transcripts, market research).
Familiarity with front-office workflows across ECM, DCM, M&A, and investment research.
Extensive experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud).
Exceptional communication, presentation, and stakeholder management skills, with a track record of influencing senior bankers and C-level executives.
Preferred
Experience with knowledge graphs and graph-based search technologies.
Familiarity with industry-standard financial data tools such as Bloomberg, Refinitiv, Capital IQ, FactSet, or PitchBook.
Prior hands-on work in developing AI agents, document summarization tools, or automated pitch generation systems.
Exposure to enterprise Relationship and Deal management systems and client intelligence platforms.
Advanced degree in Computer Science, Artificial Intelligence, Applied Mathematics, or a related quantitative field.
Education
Bachelor’s degree/University degree or equivalent experience is required.
Master’s degree is preferred.
What Success Looks Like
AI tools are deeply embedded into the daily workflows of bankers and analysts, becoming indispensable.
Significant reduction in manual effort across critical functions like client targeting, pitch preparation, and market monitoring.
All data assets and ML models are fully aligned with enterprise governance frameworks and architectural standards.
A scalable and adaptable AI platform that continuously evolves with the pace of business demands and technological innovation.
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.
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.
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.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have over 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
For information on Citi’s commitment to privacy, visit on.citi/privacy.
Offices: 388 Greenwich Street, New York, New York 10013, US · Locations in over 100 countries, http://www.citigroup.com/citi/global/index.htm, 10022, US · 5900 Hurontario St, Mississauga, ON L5R 0B8, CA · 165 Jalan Ampang, Kuala Lumpur, Federal Territory of Kuala Lumpur 50450, MY · Calle 62C O, Panama City, Panama, PA
BankingCommercial BankingInvestment BankingWealth ManagementCredit CardsCapital MarketsEquity and Fixed Income ResearchConsumer LendingCash Managementand Transaction Services
How much do Technology jobs in Jersey City, NJ pay?
Based on 847 listings with disclosed salaries, most technology jobs in Jersey City, NJ pay between $104k–$230k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Jersey City, NJ right now?
There are currently 977 open technology positions in Jersey City, NJ listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Jersey City, NJ?
Companies currently hiring include JPMorganChase, Bank of America, Amazon, Citi, The Depository Trust & Clearing Corporation (DTCC), among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Jersey City, NJ?
Yes — 485 of the 977 open technology positions offer remote or hybrid work (114 remote, 371 hybrid).
How do I apply for Technology jobs in Jersey City, NJ?
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