Vice President, AI / Machine Learning Data Engineering

BNY Mellon

$150K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, or related field; equivalent experience is acceptable.
  • 5-9 years of experience in software development; experience in the financial services sector is beneficial.
  • 8+ years of advanced experience in applied AI/ML, model development, and software engineering, particularly in production environments.
  • Proven ability to serve as a hands-on technical lead within engineering teams.
  • Strong grasp of enterprise software practices, including MLOps/LLMOps, and building secure, scalable AI solutions.
  • Effective communicator capable of conveying technical concepts to engineers and business stakeholders.

Responsibilities

  • Lead the design and development of AI solutions, with a focus on hands-on technical leadership.
  • Utilize knowledge of Applied AI, LLMs, and model evaluation for engineering use cases.
  • Conduct technical research and prototyping to inform actionable implementation strategies.
  • Collaborate with engineering and business teams to align on priorities and success metrics.
  • Enhance the software development lifecycle using AI to support designers and developers.
  • Mentor engineering teams and promote best practices in high-quality delivery across various domains.

Benefits

  • Competitive compensation and comprehensive benefits packages.
  • Access to global resources and tools for personal and professional development.
  • Focus on health and wellbeing, fostering personal resilience.
  • Generous paid leave policies, including time for volunteer work, to support work-life balance.
Full Job Description
Job Description

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.

This role is located in our AI Hub and is focused on building AI-powered tools and platforms that improve the way engineers design, build, test, and operate software. This is a strong opportunity for a hands-on engineer who can apply deep AI and software engineering expertise to deliver practical solutions, guide technical direction, and help scale high-value capabilities in an enterprise environment.

In this role, you'll make an impact in the following ways:
  • 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.


To be successful in this role, we're seeking the following:
  • 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.
  • Ability to communicate technical ideas effectively and work across a range of audiences, including engineers, product partners, and business stakeholders.


Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

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