12127 Sr Mgr AI Engineering & Platform Delivery

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 technical leadership for AI architecture, integrations, engineering standards, and solution design. Oversee AI platform engineering, MLOps/LLMOps, deployment automation, monitoring, observability, and lifecycle management.
  Partner with Enterprise Architecture, Cloud, Infrastructure, and Platform teams to ensure reliable and cost-effective solutions.
• AI Operations & Platform Enablement: Lead implementation of AI engineering platforms, development environments, deployment automation, and operational tooling. Oversee emerging MLOps capabilities including deployment automation, monitoring, observability, lifecycle management, and operational support. Partner with infrastructure, cloud, and platform teams to optimize AI platform performance, scalability, reliability, and cost. Support production readiness, operational support, and continuous improvement of AI solutions
• Cross-Functional Collaboration: Partner with business, IT, Enterprise Architecture, Cybersecurity, and platform teams to execute AI delivery priorities. Coordinate with the Responsible AI & Governance team to meet governance, security, privacy, and compliance requirements. Foster collaboration across business and technology teams to accelerate responsible enterprise AI adoption.

Job Specific Qualifications

Required

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, or related field
• 10+ years of experience in software engineering, enterprise application development, AI/ML, cloud engineering, or solution delivery
• 5+ years of technical leadership or engineering management experience
• Experience leading multidisciplinary teams including product, engineering, or solution delivery functions
• Hands-on experience developing cloud-native, API-driven, and AI-enabled applications
• Strong understanding of enterprise architecture, cloud platforms, distributed systems, APIs, DevOps, and modern software engineering practices
• Experience delivering enterprise technology solutions from concept through production
• Strong communication, leadership, stakeholder management, and coaching skills

Desired

• Experience with Azure OpenAI, Azure AI Services, AWS Bedrock, Microsoft Copilot technologies, ServiceNow AI, Salesforce AI, SAP AI, or comparable enterprise AI platforms
• Experience building AI agents, copilots, Retrieval-Augmented Generation (RAG) solutions, intelligent automation, or Generative AI applications
• Experience with Python, .NET, JavaScript/TypeScript, REST APIs, cloud-native application development, and full-stack engineering
• Familiarity with containerization, Kubernetes, DevOps, CI/CD, GitHub, Azure DevOps, and MLOps practices
• Experience within regulated industries such as utilities, energy, financial services, or healthcare
• Understanding of cybersecurity, Responsible AI principles, and enterprise technology governance

Some positions at PSEG require access to information covered by the Department of Energy’s regulation 10 CFR 810 (Part 810). If applicable, the successful applicant must prove they are: (1) a citizen or national of the USA; OR (2) a lawful permanent resident of the United States (Non-Conditional Permanent I-551 / Green Card / Permanent Resident Card holder); OR (3) a citizen, national, or permanent resident of a “Generally Authorized” destination on the attached list not also a citizen, national, permanent resident of any country not listed; OR (4) a “Protected Individual” under the Immigration and Naturalization Act (8 U.S.C 1324b(a)(3)).

As an employee of PSEG, you should be aware that during emergency restoration efforts, you may be required to perform functions outside of your routine duties and on a schedule that may be different from normal operations.
For all roles, PSEG’s drug and alcohol testing program includes pre-employment testing, testing for cause, and post-incident/accident testing.
Employees who are hired or transfer into a federally regulated role (including positions covered by USDOT, PHMSA, or NRC regulations) are subject to random drug and alcohol testing, inclusive of marijuana. Although numerous states throughout the country have legalized marijuana/cannabis products recreationally and medically, the use of these products are prohibited for employees in federally regulated roles. Please note that the use of CBD products may result in a positive drug test for THC/Marijuana and such use is not a legitimate medical explanation for a positive result.

If you are a current PSEG Long Island (PSEGLI) employee and offered an opportunity with PSEG or any of its subsidiaries other than PSEGLI, you will be treated as a new hire. Please note that as a new hire to PSEG, your benefits will change and generally will be consistent with other similarly situated PSEG new hires. Similarly, for PSEG employees who accept job opportunities with PSEGLI, your benefits will change and generally be consistent with other similarly situated new hires of PSEGLI.

PSEG is an equal opportunity employer, dedicated to a policy of non-discrimination in employment, including the hiring process, based on any legally protected characteristic. Legally protected characteristics include race, color, religion, national origin, sex, age, marital status, sexual orientation, disability or veteran status or any other characteristic protected by federal, state, or local law in locations where PSEG employs individuals.
PSEG is committed to providing reasonable accommodations to individuals with disabilities. If you have a disability and need assistance applying for a position, please call View phone number on aiapply.co or email View email address on aiapply.co.
If you need to request a reasonable accommodation to perform the essential functions of the job, email View email address on aiapply.co. Any information provided regarding a disability will be kept strictly confidential and will not be shared with anyone involved in making a hiring decision.
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