12097 AI Engineer - Solutions & LLMOps

PSEG; Newark (NJ); Hybrid; USD 79,000 - 126,000; Full time

Job summary

PSEG is seeking an AI Engineer to blend hands-on AI engineering with LLMOps for scalable, secure, production-ready AI across the enterprise. The role emphasizes evaluating, prototyping, designing, deploying, and maintaining AI solutions with cloud services while ensuring reliability and security throughout their lifecycle.

The position covers AI operationalization, deployment automation, monitoring, prompt and model lifecycle management, and collaboration with infrastructure teams to improve

Qualifications

• 2+ years of experience in software engineering, cloud engineering, AI/ML development, or platform engineering.
• Experience developing cloud-based applications, APIs, or automation workflows.
• Experience with scripting or programming languages such as Python.
• Understanding of cloud platforms, APIs, and application integration concepts.
• Strong analytical, problem-solving, and collaboration skills.
• Compliance with the Department of Energy’s regulation 10 CFR 810 is required.

Responsibilities

• 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.

Skills

Software engineering

Cloud engineering

AI/ML development

Platform engineering

Python

Cloud platforms

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

Git

Azure DevOps

GitHub

Docker

Kubernetes

Cloud-native development tools

Job description

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.

Job Summary

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.

Job Responsibilities

AI Development

• 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

AI Platform Engineering

• 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

AI Operations, MLOps & LLMOps

• 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

Responsible AI & Operational Readiness

• 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

Job Specific Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
• 2+ years of experience in software engineering, cloud engineering, AI/ML development, or platform engineering
• Experience developing cloud‑based applications, APIs, or automation workflows
• Experience with scripting or programming languages such as Python
• Understanding of cloud platforms, APIs, and application integration concepts
• Strong analytical, problem‑solving, and collaboration skills
• Compliance with the Department of Energy’s regulation 10 CFR 810 is required.

Desired

• Experience with AI, Machine Learning, Generative AI, or intelligent automation technologies
• Familiarity with cloud AI platforms such as Azure OpenAI, Azure AI Services, AWS Bedrock, or similar technologies
• Exposure to AI agents, copilots, Retrieval‑Augmented Generation (RAG), or GenAI workflows
• Experience with DevOps, CI/CD, containerization, monitoring, LLMOps, MLOps concepts
• Experience with Git, Azure DevOps, GitHub, Docker, Kubernetes, or cloud‑native development tools
• Familiarity with enterprise platforms such as ServiceNow, SAP, or Salesforce
• Experience within regulated industries such as utilities, energy, financial services, or healthcare

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, 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 973‑430‑3845 or email [e-mail].

If you need to request a reasonable accommodation to perform the essential functions of the job, email [e-mail]. Any information provided regarding a disability will be kept strictly confidential and will not be shared with anyone involved in making a hiring decision.