Cloud-Native Development

DevOps, Cannabis AI Agents Operations Automation Governance ServiceNow Scalability Prototyping RESTful API AI Security AWS Bedrock AI Adoption Azure OpenAI Communication Risk Analysis Cyber Security Cloud Services Responsible AI Microsoft Azure Problem Solving Vector Database Computer Science SAP Applications Machine Learning Containerization Web Applications Solution Delivery Cloud Engineering Behavioral Health Financial Services Workflow Management Information Systems Software Engineering Lifecycle Management Solution Architecture Full Stack Development Operational Excellence Stakeholder Engagement Intelligent Automation Enterprise Integration Artificial Intelligence Enterprise Architecture Application Development Permanent Resident Cards Cloud-Native Development Python (Programming Language) Cybersecurity Risk Management Retrieval Augmented Generation Front End (Software Engineering) Generative Artificial Intelligence MLOps (Machine Learning Operations) Artificial Intelligence Development Artificial Intelligence Infrastructure Application Programming Interface (API), 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-concepts to validate AI use cases and business value

Evaluate emerging AI technologies and enterprise platforms to determine the best-fit solution

Assess technical feasibility, scalability, and integration approaches for AI solutions Recommend AI technologies, frameworks, and architecture patterns to support enterprise adoption, 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., DevOps Cannabis AI Agents Operations Automation Governance ServiceNow Scalability Prototyping RESTful API AI Security AWS Bedrock AI Adoption Azure OpenAI Communication Risk Analysis Cyber Security Cloud Services Responsible AI Microsoft Azure Problem Solving Vector Database Computer Science SAP Applications Machine Learning Containerization Web Applications Solution Delivery Cloud Engineering Behavioral Health Financial Services Workflow Management Information Systems Software Engineering Lifecycle Management Solution Architecture Full Stack Development Operational Excellence Stakeholder Engagement Intelligent Automation Enterprise Integration Artificial Intelligence Enterprise Architecture Application Development Permanent Resident Cards Cloud-Native Development Python (Programming Language) Cybersecurity Risk Management Retrieval Augmented Generation Front End (Software Engineering) Generative Artificial Intelligence MLOps (Machine Learning Operations) Artificial Intelligence Development Artificial Intelligence Infrastructure Application Programming Interface (API) +0

Google IT Automation with Python

Google Project Management 12087 AI Business Product Specialist PSEG

Newark, NJ*On-Site

Ideation Cannabis Scripting AI Agents Operations Automation Governance Salesforce ServiceNow Scalability Prototyping RESTful API AWS Bedrock AI Adoption Azure OpenAI Communication Cyber Security Prioritization Responsible AI Data Governance Solution Design Business Process Computer Science SAP Applications Machine Learning Behavioral Health Value Realization Product Management Business Valuation Financial Services Prompt Engineering Workflow Management Business Objectives Business Operations Strategic Alignment Portfolio Management Regulatory Compliance Business Architecture Technology Strategies Cloud-Native Computing Stakeholder Management Operational Excellence Digital Transformation Intelligent Automation Artificial Intelligence Organizational Strategy Enterprise Architecture Executive Presentations Permanent Resident Cards Agile Product Management Cybersecurity Compliance Organizational Leadership Python (Programming Language) Healthcare Industry Knowledge Cybersecurity Risk Management Retrieval Augmented Generation Organizational Change Management Artificial Intelligence Strategy Key Performance Indicators (KPIs) Generative Artificial Intelligence Proof Of Concept (POC) Development Artificial Intelligence Development Artificial Intelligence Infrastructure Application Programming Interface (API) Applications Of Artificial Intelligence

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
• 6+ years of experience in software engineering, full-stack application development, cloud engineering, AI/ML technologies, or solution development
• Hands-on experience designing, developing, and integrating full-stack cloud-based applications, APIs, and enterprise solutions
• Experience prototyping, building, and delivering AI, Machine Learning, Generative AI, or intelligent automation solutions
• Experience developing web applications, APIs, workflow applications, or user-facing enterprise applications
• Strong understanding of cloud platforms, distributed systems, APIs, enterprise integration patterns, and modern application development practices
• Strong communication, problem-solving, and stakeholder engagement skills
• Compliance with the Department of Energy’s regulation 10 CFR 810 is required.

Desired

• Experience with enterprise AI technologies and cloud AI services such as Azure OpenAI, AWS Bedrock, Azure AI Services, or similar platforms

• Experience building AI agents, copilots, Retrieval-Augmented Generation (RAG) solutions, orchestration workflows, chat interfaces, or GenAI-enabled applications Familiarity with enterprise platforms including ServiceNow, Salesforce, SAP, and AI-enabled enterprise applications

• Experience with Python, REST APIs, orchestration frameworks, vector databases, and modern AI development frameworks
• Familiarity with front-end frameworks, lightweight UI development, cloud-native application development, and API integration
• Familiarity with DevOps, CI/CD, containerization, cloud-native development, and emerging MLOps practices
• Experience within regulated industries such as utilities, energy, financial services, or healthcare
• Understanding of AI governance, cybersecurity, risk management, and responsible AI principles

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.