AI Engineer

DevOps, Github Cannabis Scripting AI Agents Operations Automation Governance Kubernetes ServiceNow Scalability Prototyping AWS Bedrock Azure OpenAI Azure DevOps Observability Risk Analysis Collaboration Cyber Security Cloud Services Responsible AI Microsoft Azure Problem Solving Computer Science SAP Applications Machine Learning Containerization Docker (Software) Cloud Engineering Behavioral Health Financial Services Operationalization Workflow Management Information Systems Software Versioning Software Engineering Lifecycle Management Programming Languages Operational Excellence Intelligent Automation Artificial Intelligence Permanent Resident Cards Cloud-Native Development Product Family Engineering Git (Version Control System) Python (Programming Language) Retrieval Augmented Generation Generative Artificial Intelligence Enterprise Application Integration MLOps (Machine Learning Operations) Artificial Intelligence Infrastructure Application Programming Interface (API), 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, 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., Power BI Refining Cannabis AWS Glue Pipelines Operations Automation Mentorship Governance Scalability Data Mining Data Quality Data Science Communication Data Analysis Data Modeling Data Wrangling Data Pipelines Responsible AI Data Governance Data Extraction Query Languages Report Creation Data Enrichment Computer Science Machine Learning Behavioral Health Advanced Analytics Data Visualization Workflow Management Amazon Web Services Feature Engineering Lifecycle Management Emerging Technologies Operational Excellence Artificial Intelligence Microsoft Power Automate Permanent Resident Cards SQL (Programming Language) Robotic Process Automation Code Of Federal Regulations Extract Transform Load (ETL) Python (Programming Language) Retrieval Augmented Generation Business Intelligence Reporting Data Analysis Expressions (DAX) Generative Artificial Intelligence Automation Anywhere (RPA Software) MLOps (Machine Learning Operations) SQL Server Integration Services (SSIS) Tableau (Business Intelligence Software) +0

Google Advanced Data Analytics

Google Data Analytics 12097 AI Engineer - Solutions & LLMOps PSEG

Newark, NJ*On-Site

CI/CD DevOps Github Cannabis Scripting AI Agents Operations Automation Governance Kubernetes ServiceNow Scalability Prototyping AWS Bedrock Azure OpenAI Azure DevOps Observability Risk Analysis Collaboration Cyber Security Cloud Services Responsible AI Microsoft Azure Problem Solving Computer Science SAP Applications Machine Learning Containerization Docker (Software) Cloud Engineering Behavioral Health Financial Services Operationalization Workflow Management Information Systems Software Versioning Software Engineering Lifecycle Management Programming Languages Operational Excellence Intelligent Automation Artificial Intelligence Permanent Resident Cards Cloud-Native Development Product Family Engineering Git (Version Control System) Python (Programming Language) Retrieval Augmented Generation Generative Artificial Intelligence Enterprise Application Integration MLOps (Machine Learning Operations) Artificial Intelligence Infrastructure Application Programming Interface (API) +0

• 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)).

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.

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., 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.