Associate Director – AI / Generative AI Engineering

DTCC • Jersey City, NJ

1d • Hybrid

About The Position

Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance. The Impact you will have in this role: Being a member of IT Strategy & Business Management team, this role role specializes in planning, documenting technical requirements, designing, developing, and testing all software systems and applications for the firm. Works closely with architects, product managers, project management, and end-users in the development and enhancement of existing software systems and applications, proposing and recommending solutions that solve complex business problems. The Associate Director of AI / Generative AI Engineering to lead the design, adoption, and operational excellence of enterprise‑grade GenAI solutions . This role owns LLM‑based architectures , including Retrieval‑Augmented Generation (RAG) and AI‑driven data access patterns , and is accountable for embedding Generative AI capabilities into mission‑critical business workflows in a secure, scalable, and compliant manner. You will serve as a technical and execution leader , partnering with product, data, cloud, and risk teams to drive responsible AI adoption across the enterprise.

Requirements

• Minimum of 8 years of related experience
• Bachelor's degree preferred and/or equivalent experience
• 10+ years of experience in AI, ML, or advanced data‑driven engineering roles, including technical leadership responsibilities
• Deep expertise in Generative AI, LLM integration, and RAG architectures for enterprise systems
• Strong experience designing AI‑driven data access patterns , including Text‑to‑SQL
• Advanced SQL skills and experience with enterprise data platforms (e.g., Snowflake or equivalent )
• Proven ability to own architecture decisions , influence platform direction, and lead cross‑team delivery
• Experience operating in enterprise‑scale or regulated environments

Nice To Haves

• Experience deploying and operating AI solutions in cloud environments (AWS, Azure, or equivalent)
• Familiarity with AI evaluation, monitoring, observability, and model performance management
• Experience contributing to responsible AI frameworks , governance models, or compliance initiatives
• Background modernizing or scaling AI platforms within large enterprises

Responsibilities

• AI Architecture & Platform Leadership: Own the end‑to‑end architecture of GenAI solutions, including LLM integration, RAG pipelines, vector search, and AI‑assisted data access.
• Lead the design and implementation of production‑grade AI systems , ensuring scalability, performance, and resiliency.
• Define and govern Text‑to‑SQL and AI‑driven analytics patterns for dynamic, secure access to enterprise data.
• Establish architectural standards and reference patterns for AI usage across applications and workflows.
• Delivery Accountability & Operational Excellence: Accountable for production readiness, model lifecycle management, and operational stability of GenAI platforms.
• Partner with Cloud and DevOps teams to ensure AI solutions are securely deployed, monitored, and observable.
• Ensure AI solutions meet enterprise security, data protection, governance, and compliance requirements.
• Act as an escalation point for complex AI architecture, performance, or risk issues.
• Cross‑Functional & Enterprise Collaboration: Partner with Product, Backend, Data, and Platform teams to embed AI capabilities into end‑to‑end workflows.
• Collaborate with Risk, Compliance, and Security teams to implement responsible AI controls and governance.
• Communicate technical trade‑offs, risks, and AI adoption strategy to senior technology and business stakeholders.
• People Leadership & Technical Stewardship: Lead, mentor, and develop AI and data‑focused engineers.
• Set expectations for engineering rigor, documentation quality, and architectural discipline.
• Drive knowledge sharing and adoption of best practices across teams and platforms.
• Contribute to hiring, capability assessment, and succession planning for AI engineering roles.

Benefits

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: Associate degree