Director Applied Artificial Intelligence Engineering

Key Responsibilities

• Strategic AI/ML Solution Design & Implementation (Client-Focused): Lead the end-to-end design, architecture
• hands-on implementation of advanced AI/ML solutions and platforms directly supporting and enhancing Investment Banking client workflows in ECM, DCM
• This includes leveraging and adapting existing models, and pioneering new AI-driven approaches to meet specific client needs and strategic business objectives.
• Engage directly with clients to gather requirements, present solutions, and ensure successful adoption.
• Principal AI/ML Engineering & Technical Leadership: Act as a primary subject matter expert and thought leader in advanced AI/ML engineering, especially within the context of Investment Banking products.
• Provide overarching technical leadership, guidance
• mentorship to engineering teams and business stakeholders, fostering best practices in AI-augmented development, scalable system design, code reviews
• collaborative problem-solving.
• Champion a culture of quality through disciplined application of Spec-Driven Development (SDD), Test-Driven Development (TDD) / Behavior-Driven Development (BDD)
• promote AI-driven test case generation and quality automation.
• Architect for Scalability, Resilience & Security: Provide deep expertise in modern application architecture, designing for cloud readiness by applying 12-Factor App principles and microservice patterns.
• Ensure AI solutions are built for optimal performance, scalability, resilience, and security within high-compliance environments (on-premise, hybrid cloud, or private cloud).
• Techno-Functional Partnership & Domain Expertise: Develop a deep understanding of Investment Banking products (ECM, DCM, M&A), collaborating closely with business stakeholders and external clients to identify critical business needs and high-impact AI opportunities.
• Act as a strategic partner, translating complex financial requirements into technical specifications and delivering AI solutions that directly address client pain points.
• Data Strategy & Engineering Leadership: Work closely with data engineers and data scientists to define advanced data requirements, ensure exceptional data quality
• optimize complex data pipelines for robust AI solution integration and deployment.
• Drive strategies for utilizing both structured financial datasets and unstructured data sources (filings, call transcripts, research) effectively.
• Model Deployment, Monitoring & Optimization: Oversee the deployment, scaling, monitoring, and continuous maintenance of AI/ML solutions in production environments.
• Implement advanced performance optimizations for AI solutions and underlying infrastructure to ensure efficient resource utilization, rapid inference, and proactive issue resolution.
• Strategic Vision, Innovation & Advocacy: Contribute significantly to the strategic vision for AI in Investment Banking by researching, evaluating
• advocating for new AI technologies, methodologies
• tools (e.g., LLMs, prompt engineering, Retrieval-Augmented Generation - RAG, MCP, A2A).
• Drive adoption of AI-powered tools (Devin, GitHub Copilot, Claude, Codex) to accelerate development, automate complex tasks, and validate architectural patterns across the SDLC.
• Embrace an agile, iterative mindset that avoids "Big Up-Front Design" (BUFD).
• Full-Stack Problem Solving & Database Mastery: Mastermind complex database interactions across Oracle, SQL, and MongoDB, employing AI to analyze query performance and recommend optimizations.
• Resolve high-impact problems across the entire stack through in-depth evaluation of business and system processes.
• Qualifications & Experience: 10+ years of experience in software engineering , with at least 5+ years in a senior or lead Applied AI/ML engineering role specifically delivering complex, enterprise-grade, client-facing applications in financial services.
• Demonstrated success in building and deploying innovative AI applications within financial services, banking, or capital markets domains , with significant exposure to Investment Banking products (ECM, DCM, M&A) .
• Proven experience leading technical implementations, mentoring other senior engineers, and directly engaging with clients in a principal capacity.
• Deep expertise in ML, NLP, LLMs, Retrieval-Augmented Generation (RAG), embeddings, and modern MLOps practices.
• Strong experience working with both structured financial datasets and unstructured data sources (e.g., SEC filings, call transcripts, research) within a regulated environment.
• Familiarity with front-office workflows in ECM, DCM, M&A, and investment research is essential.
• Exceptional communication and stakeholder management skills, with the ability to articulate complex technical and business concepts to diverse audiences, including senior executives and external clients.
• Advanced degree (Master's or Ph.D. preferred) in Computer Science, AI, Applied Mathematics, Engineering, or a related quantitative field.
• Must-Have Engineering & Technical Acumen: Engineering Principles: Deep, practical knowledge of designing for cloud readiness, including microservice architecture, 12-Factor App principles, and modern design patterns.
• Development Methodologies: Proven experience championing and advocating for SDD (Spec Driven Development), TDD (Test Driven Development), and DDD (Domain Driven Design) within an agile environment.
• Core Backend Stack: Mastery of modern Java (JDK 17/21) and the core Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Cloud).
• Frontend Technologies: Hands-on experience with modern UI frameworks like Angular, using TypeScript/JavaScript to build intuitive, client-facing user interfaces.
• Databases: Strong, hands-on experience with both relational (Oracle, SQL) and NoSQL (MongoDB) databases, with an emphasis on AI-driven optimization.
• DevOps & CI/CD: Proficiency with modern CI/CD pipelines (e.g., Harness, Jenkins), containerization with Docker, and container orchestration platforms (OpenShift, Kubernetes).
• AI-First Expertise: Practical Application: Demonstrable, hands-on experience using and integrating AI development tools (e.g., Devin, GitHub Copilot, Claude, Codex) throughout the software development lifecycle for code generation, debugging, documentation
• automated quality assurance.
• Strategic Mindset: Strong understanding of the concepts underpinning modern AI tools (LLMs, prompt engineering, Retrieval-Augmented Generation - RAG, MCP, A2A) and a clear vision for leveraging them to transform engineering productivity, quality, and client value.
• What Success Looks Like: Seamless integration of AI tools into daily workflows of Investment Banking clients and analysts, demonstrably enhancing their productivity and decision-making.
• Significant reduction in manual effort across critical client-facing activities such as targeting, pitch preparation, and market monitoring.
• AI-driven data assets and ML models fully aligned with enterprise governance, architecture, and client-specific requirements.
• A scalable AI platform that rapidly evolves to meet changing business needs and client demands, consistently delivering innovative solutions.
• MUST HAVE: financial services, banking
• capital markets domains , with significant exposure to Investment Banking products (ECM, DCM, M&A) . ------------------------------------------------------ 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: $170,000.00 - $300,000.00 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
• 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: Jun 19, 2026 ------------------------------------------------------ Citi is an equal opportunity employer
• 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
• 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 .
• View Citi’s EEO Policy Statement and the Know Your Rights poster.