Requisition: 83994
PSEG Company: PSEG Services Corp.
Salary Range: $ 107,600 - $ 170,300
Work Location Category: Hybrid
Job SummaryAt 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 ResponsibilitiesAI Solution Development & DeliveryDesign, 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 & EngineeringDesign 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 ReadinessEnsure 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 ExperimentationDevelop 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
Job Specific Qualifications- 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)).
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.