12127 Sr Mgr AI Engineering & Platform Delivery

Date: Aug 27, 2026

Location: Newark, NJ, US, 07101

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Company: PSEG

Requisition: 84111

PSEG Company: PSEG Services Corp.

Salary Range: $ 137,000 - $ 224,400

Work Location Category: Hybrid

We’re one of the country’s largest energy companies, with a vision of powering a future where people use energy more efficiently and it’s safer and delivered more reliably than ever. We’re also deeply connected to the communities we serve, with more than 13,000 employees working together to support our customers and make a difference every day.

Here, you’ll have the stability and exciting opportunities that come with being a Fortune 500 company — along with a supportive, friendly work environment where your contributions are valued.

We offer a flexible work environment designed to balance employee needs with collaboration and operational excellence. Roles fall into two categories:

• Onsite: Employees work onsite daily.
• Hybrid: A blend of remote and onsite work, with at least three onsite days per week required.

As an employee, if you are regularly scheduled to work 20 or more hours per week, you will have access to a wide range of comprehensive benefits from day one, designed to support your total well-being: medical, dental, vision, parental leave and family leave programs, behavioral health programs, 401(k) with company match, life insurance, tuition reimbursement, and generous paid time off.

More than 13,000 people already call PSEG their work home, taking pride in providing safe, reliable service to millions of customers. If you’re looking for a place where you can build a meaningful career and help power and support our communities, we’d love to welcome you to the team.

PSEG is not offering visa sponsorship for this position.

Job Summary

The IT Leader focuses on the delivery and refinement of digital products. This role involves strategic product planning, feature execution, and managing technology systems for business operations. Responsibilities extend to coordinating with IT groups for troubleshooting and system enhancements, leading system installations, upgrades, and maintaining system operations. The leader is also responsible for guiding the technology teams, fostering innovation, and driving automation to enhance support for end users. This position emphasizes a strong commitment to developing team capabilities and promoting an agile work environment to optimize business outcomes.

The AI Manager – Engineering & Platform Delivery is responsible for leading the engineering, product execution, platform enablement, and delivery functions of the Enterprise AI Center of Excellence (AI CoE).

The AI Manager provides day-to-day leadership for AI delivery activities, including business discovery, technical evaluation, proof-of-concept development, engineering, platform enablement, and production deployment. The role ensures close collaboration between business stakeholders and engineering teams while maintaining alignment with enterprise architecture, cybersecurity, and Responsible AI standards.

This position is expected to remain technically engaged, providing architectural guidance, mentoring engineers, participating in technology evaluations, and supporting complex solution design while building a high-performing enterprise AI delivery organization.

Job Responsibilities

AI Delivery Leadership: Lead end-to-end delivery of enterprise AI initiatives from approved use case through production.

Manage delivery priorities, engineering capacity, quality, and commitments. Establish effective AI engineering and Agile delivery practices and continuously improve team performance.

Lead and coach AI Business Product Managers supporting business domains. Ensure AI opportunities are defined, prioritized, technically evaluated, and validated through rapid prototyping. Guide build, buy, and configure decisions and transition validated opportunities into engineering delivery.

AI Engineering & Platform Delivery: Lead delivery of AI applications, agents, copilots, workflows, APIs, and reusable enterprise AI services. Evaluate and enable appropriate enterprise AI platforms and emerging technologies. Ensure solutions are secure, scalable, reusable, maintainable, and production-ready.

Technical Leadership & Architecture: Provide…