12097 AI Engineer - Solutions & LLMOps

Requisition: 83995

Salary Range: $ 79,400 - $ 125,600

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
• 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.

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

The AI Engineer role combines hands‑on AI engineering and LLMOps responsibilities to help establish scalable, secure, and production‑ready AI capabilities across the enterprise.

The AI Engineer is responsible for evaluating, prototyping, designing, developing, deploying, supporting, and continuously improving enterprise AI solutions across a rapidly evolving technology landscape. This role is responsible for building AI‑powered applications using enterprise AI platforms and cloud services while ensuring deployed solutions remain reliable, secure, and operationally efficient throughout their lifecycle.

Additionally, the role supports AI operationalization, deployment automation, monitoring, prompt and model lifecycle management, LLMOps practices, and the ongoing maintenance and support of production AI solutions.

• Develop proof‑of‑concept (POC) solutions for enterprise AI and Generative AI use cases
• Build AI agents, copilots, workflows, APIs, and AI‑enabled applications using enterprise AI platforms and cloud services
• Experiment with emerging AI technologies and validate solution feasibility with business and technical teams
• Stay current on evolving AI engineering, GenAI, and MLOps trends and best practices
• Develop reusable AI services and shared components

• Develop and integrate AI solutions across enterprise platforms and cloud services
• Support reusable AI frameworks, integration patterns, and engineering best practices
• Contribute to scalable AI platform architecture and deployment standards

• Deploy, monitor, maintain, and optimize AI solutions in production environments
• Support CI/CD, deployment automation, versioning, lifecycle management, and release processes
• Implement monitoring, logging, observability, and performance tracking for AI applications
• Collaborate with infrastructure and platform teams to improve reliability, scalability, and operational excellence

• Ensure AI solutions comply with enterprise governance, cybersecurity, privacy, and Responsible AI standards
• Support governance reviews, risk assessments, and implementation of operational controls
• Incorporate security, monitoring, and lifecycle management into AI solution delivery

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
• 2+ years of experience in software engineering, cloud engineering, AI/ML…