AI Full Stack Solutions Engineer - Newark, NJ

Job Description

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. All positions are onsite, unless otherwise stated.

PSEG Company: PSEG Services Corp
Salary Range: $ 121,200 - $ 199,200
Work Location Category: Hybrid

• Hybrid: A blend of remote and onsite work, with at least three onsite days per week required.

PSEG is not offering visa sponsorship for this position.

Job Summary:
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: Lead and oversee the design, development, test, and deployment of enterprise AI solutions, AI agents, copilots, APIs, and intelligent workflows. Lead the build of AI-enabled applications, reusable services, and integrations using enterprise AI platforms and cloud technologies. Provide end-to-end solution delivery from proof of concept through production deployment. Collaborate with IT teams to operationalize, optimize, and support AI solutions.
• 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. Provide technical guidance to delivery teams and stakeholders.
• 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.

Required Experience

Job Specific Qualifications:

Required:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field  
• 8+ 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

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)).

Preferred Experience

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