Applied AI Engineering Director for Banking Technology

Citi • Jersey City, NJ

9d • $170,000 - $300,000 • Hybrid

About The Position

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.

Requirements

• 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.
• Bachelor’s degree/University degree or equivalent experience is required.

Nice To Haves

• 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.
• Master’s degree is preferred.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior