12096 AI Solutions Engineer

Date: Jul 31, 2026

Location: Newark, NJ, US, 07101

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Company: PSEG

Requisition: 83994

PSEG Company: PSEG Services Corp.

Salary Range: $ 107,600 - $ 170,300

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

At this time, only current PSEG employees are being considered.

The AI Solutions Engineer (Full Stack) is responsible for evaluating, prototyping, designing, developing, and delivering enterprise AI solutions across a rapidly evolving technology landscape. This role combines hands-on AI engineering, full-stack application development, solution architecture, cloud integration, and technology evaluation responsibilities to accelerate enterprise AI adoption and establish scalable, secure, and reusable AI solution patterns.

This role is expected to actively build and deliver AI-enabled applications and solutions. The position will partner closely with business stakeholders, enterprise technology teams, platform owners, cybersecurity, to rapidly prototype, implement, and operationalize AI capabilities across the enterprise.

Job Responsibilities

AI Solution Development & Delivery

Design, develop, test, and deploy enterprise AI solutions, AI agents, copilots, APIs, and intelligent workflows

Build AI-enabled applications, reusable services, and integrations using enterprise AI platforms and cloud technologies

Support end-to-end solution delivery from proof of concept through production deployment

AI Architecture & Engineering

Design scalable, secure, and maintainable AI solution architectures aligned with enterprise standards

Develop reusable AI engineering patterns, integration frameworks, and best practices

Define integration approaches across enterprise platforms, cloud services, APIs, and data sources

Ensure AI solutions are scalable, observable, and operationally ready

Cross-Functional Collaboration

Partner with business stakeholders and AI Business Product Managers to evaluate AI opportunities and solution approaches

Collaborate with Enterprise Architecture, Cybersecurity, Infrastructure, and Platform teams throughout solution delivery

Participate in discovery workshops, technical assessments, architecture reviews, and solution design

Responsible AI, Security & Operational Readiness

Ensure AI solutions comply with enterprise governance, cybersecurity, privacy, and Responsible AI standards

Incorporate security, monitoring, logging, and operational controls into AI solutions

Support governance reviews, risk assessments, deployment automation, and AI operational readiness

Contribute to emerging MLOps and lifecycle management practices

AI Prototyping & Technical Experimentation

Develop rapid proof-of-conc…