Vice President, AI / Machine Learning Data Engineering

About the role

We’re seeking a future team member for the role of Vice President, AI / Machine Learning Engineer to join our AI Hub team. This role is located in Lake Mary, FL.

Responsibilities

• Lead the design and development of applied AI solutions, providing hands-on technical leadership for machine learning and artificial intelligence products.
• Bring strong knowledge of Applied AI, LLMs, fine tuning, model evaluation, and approaches to building fit-for-purpose models, copilots, and agents for engineering use cases.
• Conduct technical research, prototyping, and experimentation to evaluate model and tooling approaches, and translate findings into actionable recommendations and implementation plans.
• Partner with engineering and business stakeholders to understand priorities, workflows, and opportunities, and help define success measures that demonstrate developer and business impact.
• Bring expertise in applying AI to improve the software development lifecycle and support builders, designers, and developers with secure, scalable, and production-ready capabilities.
• Contribute to the achievement of Application Development objectives by mentoring engineers, promoting strong engineering practices, and supporting high-quality delivery across architecture, reliability, and responsible AI adoption.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, or a related field or the equivalent combination of education and experience required.
• 5-9 years of experience in software development required; experience in the securities or financial services industry is a plus.
• Advanced experience, preferably 8+ years, in applied AI/ML, model development, and software engineering, including experience building and deploying production solutions.
• Ability to operate as a hands-on technical lead, collaborating with engineers and partners while helping drive design, implementation, and delivery decisions.
• Strong understanding of enterprise software practices, MLOps / LLMOps, evaluation approaches, and how to create secure, scalable, and sustainable AI solutions.
• Able to communicate technical ideas effectively and work across a range of audiences, including engineers, product partners, and business stakeholders.

Qualifications

• Experience in the securities or financial services industry is a plus.
• Experience in applied AI/ML, model development, and software engineering, including experience building and deploying production solutions.
• Ability to communicate technical ideas effectively and work across a range of audiences, including engineers, product partners, and business stakeholders.

Skills

• Hands-on technical leadership for machine learning and artificial intelligence products.
• Technical research, prototyping, and experimentation to evaluate model and tooling approaches.
• Collaboration with engineering and business stakeholders to understand priorities, workflows, and opportunities.
• Expertise in applying AI to improve the software development lifecycle and support builders, designers, and developers with secure, scalable, and production-ready capabilities.
• Mentoring engineers, promoting strong engineering practices, and supporting high-quality delivery across architecture, reliability, and responsible AI adoption.

Benefits

About Us At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what is all about. Join us and be part of something extraordinary.

Schedule

The role is full-time.

Pay

The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.