Vice President, AI / Machine Learning Data Engineering

BNY Mellon

$150K — $200K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, or related field
  • 5-9 years of experience in software development; financial services experience is a plus
  • 8+ years of advanced experience in applied AI/ML and software engineering
  • Hands-on technical lead experience collaborating with engineering teams
  • Strong understanding of enterprise software practices and AI/ML evaluation techniques
  • Effective communication skills for technical concepts across diverse audiences

Responsibilities

  • Lead design and development of applied AI solutions and products
  • Utilize knowledge of AI, LLMs, and model evaluation to create engineering tools
  • Conduct research and prototyping for actionable AI implementation plans
  • Collaborate with stakeholders to establish engineering priorities and metrics
  • Enhance software development lifecycle with secure and scalable AI capabilities
  • Mentor engineers and uphold high standards in engineering practices

Benefits

  • Access to competitive compensation and wellbeing programs
  • Flexible global resources and tools for personal and professional growth
  • Emphasis on health, personal resilience, and financial goal support
  • Generous paid leaves, including paid volunteer time
  • 401(k) plan eligibility and participation in company-sponsored insurance plans
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 New York, NY.

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 technical leader 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.

BNY assesses market data to ensure a competitive compensation package for our employees. 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. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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