Senior Director, Engineering Group Lead

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4 Locations
In-Office
Senior level
Fintech • Financial Services
The Role
Leads architecture, development, testing, deployment, and technical direction for enterprise AI and software solutions. Manages a global engineering team, contributes hands-on to coding and architecture, and drives Agile, SDLC, PDLC, and product operating practices. Designs resilient AI applications and agentic workflows, evaluates platforms and technical risks, promotes AI-enabled engineering productivity, and partners with product and business stakeholders to deliver scalable, secure, observable systems.
Summary Generated by Built In

We’re seeking a future team member for the role of Senior Director, Engineering Group Leader to join our Enterprise Onboarding team. This role is located in Pittsburgh, PA, New York, NY or Jersey City, NJ.

In this role, you’ll make an impact in the following ways: 

  • Lead the design, development, testing, and deployment of scalable, secure, reliable, and maintainable software solutions

  • Serve as a hands-on engineer and contribute directly to architecture, coding, troubleshooting, code reviews, testing, documentation, and release management.

  • Lead and develop a small, high-performing global engineering team with a focus on execution, inclusion, collaboration, and technical excellence.

  • Drive disciplined practices across the Software Development Life Cycle (SDLC), Product Development Life Cycle (PDLC), Agile delivery, and product operating model.

  • Partner with product, engineering, and business stakeholders to translate needs into well-designed technical solutions and executable delivery plans.

  • Champion AI-enabled software development tools and practices to improve engineering productivity, quality, and speed.

  • Balance strategic objectives with day-to-day delivery, planning, prioritization, and issue resolution.

  • Coach and mentor engineers while building technical capability and a culture of continuous learning

     

To be successful in this role, we’re seeking the following: 

  • Lead solution architecture for frontier AI products and identify key business applications within Eliza Frontier Solutions.
  • Review and refine end-to-end technical designs for AI applications and agentic workflows, with a focus on reusability, resilience, observability and commercial viability.
  • Bachelor's degree in a related discipline or equivalent work experience required. Applicable local/regional licenses or certifications as required by the business 
  • 12-15 years of total work experience with at least 3-5 years of management experience preferred.
  • At least five years of software engineering experience, including demonstrated success as a hands-on developer with strong technical depth.
  • Strong experience designing and delivering enterprise software, platform and AI solutions in complex environments.
  • Deep understanding of AI engineering patterns, preferably with a background in Machine Learning (deep learning ideal)
  • Hands-on knowledge of AI/ML architecture across training, inference, feature pipelines, model serving, orchestration, agent protocols, etc.
  • Strong platform engineering skills across APIs, microservices, cloud infrastructure, CI/CD, observability, and secure deployment.
  • Experience working with AI platforms, developer platforms, or internal enablement products.
  • Ability to translate complex technical concepts into clear architecture decisions, delivery plans, and business outcomes, and ability to spot flaws and risks in designs.
  • Experience leading or managing a small, high-performing global engineering team
  • Strong knowledge of Agile delivery, product operating model practices, SDLC, and PDLC frameworks.
  • Experience applying AI-enabled software development tools, workflows, and engineering productivity practices.
  • Strong communication, collaboration, problem-solving, and stakeholder-management skills.
  • Proven ability to deliver effectively in a dynamic, outcome-focused environment.
  •  

Preferred technical areas:

  • Applied AI, ML/optimization, orchestration and software architecture, including evaluation frameworks and guardrail design
  • Vector databases, retrieval systems, knowledge graphs, memory-based agents and agentic protocols
  • MLOps, model lifecycle tooling, and production AI observability
  • Experience with AI for engineering practices and agentic SDLC design, with an eye toward production scale and resilience
About the Team

At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn

 Here’s a few of our recent awards:

  • America’s Most Innovative Companies, Fortune, 2025
  • World’s Most Admired Companies, Fortune 2025
  • “Most Just Companies”, Just Capital and CNBC, 2025

    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 is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

    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.

    Skills Required

    • Bachelor's degree in a related discipline or equivalent work experience
    • 12-15 years of total work experience
    • At least five years of software engineering experience
    • Strong experience designing and delivering enterprise software, platform, and AI solutions
    • Deep understanding of AI engineering patterns, preferably including machine learning and deep learning
    • Hands-on knowledge of AI/ML architecture, including training, inference, feature pipelines, model serving, orchestration, and agent protocols
    • Strong platform engineering skills across APIs, microservices, cloud infrastructure, CI/CD, observability, and secure deployment
    • Experience with AI platforms, developer platforms, or internal enablement products
    • Ability to translate technical concepts into architecture decisions, delivery plans, and business outcomes
    • Experience leading or managing a small, high-performing global engineering team
    • Strong knowledge of Agile delivery, product operating models, SDLC, and PDLC frameworks
    • Experience applying AI-enabled software development tools and engineering productivity practices
    • Strong communication, collaboration, problem-solving, and stakeholder-management skills
    • Ability to deliver effectively in a dynamic, outcome-focused environment
    • Three to five years of management experience
    • Applied AI, ML or optimization, orchestration, software architecture, evaluation frameworks, and guardrail design
    • Experience with vector databases, retrieval systems, knowledge graphs, memory-based agents, and agentic protocols
    • MLOps, model lifecycle tooling, and production AI observability experience
    • Experience with AI for engineering practices and agentic SDLC design

    BNY Compensation & Benefits Highlights

    The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BNY and has not been reviewed or approved by BNY.

    • Healthcare Strength — Health coverage includes comprehensive options with a $0‑premium plan for eligible lower earners, expanded mental‑health support with personalized therapy, and strong income protection through short‑ and long‑term disability. These features have been recently enhanced and are paired with dental and vision coverage.
    • Parental & Family Support — Parental leave provides 16 weeks of fully paid time for all parents, with added support such as adoption assistance. This breadth offers strong coverage for major family events.
    • Retirement Support — The 401(k) program includes a company match and Roth options to support long‑term savings. Additional financial programs like tuition assistance and savings vehicles complement retirement readiness.

    BNY Insights

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    The Company
    HQ: New York, NY
    41,739 Employees

    What We Do

    We help make money work for the world — managing it, moving it and keeping it safe. As a leading global financial services company at the center of the world’s financial system, we touch nearly 20% of the world’s investable assets. Today we help over 90% of Fortune 100 companies and nearly all the top 100 banks globally access the money they need. For 240 years we have partnered alongside our clients to create solutions that benefit businesses, communities and people everywhere.

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