Senior Director, Engineering Group Lead

BNY Mellon; Pittsburgh (Allegheny County); On-site; USD 180,000 - 230,000; Full time

Job summary

BNY Mellon seeks a Senior Director, Engineering Group Leader to guide the Enterprise Onboarding team across Pittsburgh, NY, or Jersey City. You will lead design, development, and deployment of scalable AI-enabled software and mentor a global engineering group.

You will shape architecture decisions, drive SDLC/PDLC practices, and partner with stakeholders to deliver executable delivery plans. Strong AI focus and leadership are essential.

Qualifications

• Bachelor's degree in a related discipline or equivalent work experience.
• 12-15 years total experience with 3-5 years of management preferred.
• At least five years of software engineering experience with hands-on development.
• Experience delivering enterprise software and AI solutions in complex environments.
• Strong knowledge of Agile delivery, SDLC and PDLC frameworks.
• Deep understanding of AI engineering patterns; ML background preferred.
• Hands-on knowledge of AI/ML architecture across training and inference.
• Platform engineering skills: APIs, microservices, cloud, CI/CD, observability.
• Experience with AI platforms or internal enablement products.
• Strong communication and stakeholder-management skills.

Responsibilities

• Lead design, development, testing, and deployment of scalable AI software solutions.
• Serve as hands-on engineer contributing to architecture, coding, testing, and release management.
• Lead and develop a small, global engineering team with focus on execution and excellence.
• Drive disciplined practices across SDLC, PDLC, Agile delivery, and product operating model.
• Partner with stakeholders to translate needs into technical solutions and delivery plans.
• Champion AI-enabled tools and practices to improve productivity and quality.
• Balance strategic objectives with day-to-day delivery, planning, and issue resolution.
• Coach engineers and foster a culture of continuous learning.

Skills

AI architecture

Hands-on coding

Team leadership

SDLC/PDLC

Agile delivery

Cloud infra

CI/CD

ML deployment

Stakeholder mgmt

Communication

Education

Bachelor's degree in related field

Job description

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