Director, AI / Machine Learning Data Engineer

About the Role

We’re seeking a future team member for the role of Director, AI / Machine Learning Engineer to join our AI Hub team. This role is located in New York, NY. This is a highly visible leadership opportunity for a hands-on technical leader who can combine deep applied AI expertise with strong software engineering judgment to deliver practical, scalable solutions in an enterprise environment while leading and developing a high-performing engineering team.

Responsibilities

• Lead the design, development, and delivery of applied AI solutions hands-on, providing technical direction and execution leadership for machine learning and artificial intelligence products.
• Bring deep knowledge of Applied AI, LLMs, fine tuning, model evaluation, and approaches to building fit-for-purpose models, copilots, and agents for engineering use cases.
• Drive technical discovery, prototyping, and experimentation to evaluate tools, frameworks, and model approaches, translating findings into practical recommendations and scalable implementation plans.
• Partner closely with engineering and business stakeholders to understand roadmaps, pain points, and workflows, and define success measures that demonstrate developer, engineering, and business impact.
• Lead and manage a team of AI / machine learning engineers, supporting performance, coaching and development, and creating a strong culture of technical excellence, accountability, and collaboration.
• Bring expertise in applying AI to improve the software development lifecycle and empower builders, designers, and developers through trusted, secure, and production-grade capabilities.
• Contribute to the achievement of Application Development objectives by establishing strong practices across architecture, delivery, reliability, and responsible AI adoption.

Requirements

• Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required; advanced degree is beneficial.
• 12+ years of experience in software development required; experience in the securities or financial services industry is a plus.
• Advanced experience, preferably 10+ years, in applied AI/ML, model development, and software engineering, including experience deploying solutions into production environments.
• Demonstrated experience managing technical teams, mentoring engineers, and balancing people leadership with hands-on technical direction and delivery ownership.
• Ability to lead as a hands-on technical leader, collaborating with, mentoring, and guiding engineers while driving architecture, implementation, and delivery decisions.
• Strong understanding of enterprise software practices, MLOps / LLMOps, evaluation frameworks, and how to create secure, scalable, and sustainable AI architectures.
• Ability to communicate technical ideas clearly and influence a range of audiences, including engineers, product partners, and senior business stakeholders.