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# Cloud-Native Development

- **Company:** CareerCircle
- **Location:** Newark, NJ, United States
- **Experience:** Expert
- **Salary:** $107,600.0 - $170,300.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Cloud Engineering, Cyber Security, Information Systems, Databases, Continuous Integration, Data Governance, DevOps, Web Development, Distributed Systems, Design of User Interfaces, Python (Programming Language), Machine Learning, Cloud Services, Azure Machine Learning, Salesforce.Com, SAP (Applications), Software Deployment, Software Engineering, Systems Integration, Web Applications, Enterprise Application Integration, Data Logging, Scripting, Enterprise Software Applications, Prompt Engineering, IT Architecture, Generative AI, Containerization, AI Platforms, Kubernetes, Information Technology, Deployment Automation, Enterprise Integration, Integration Frameworks, Machine Learning Operations, Front End Software Development, Cloud Integration, Restful APIs, Servicenow
- **Published:** August 1, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/nj/newark/47e55ef4-8eb9-41f3-b74d-85b4120d5db4

## About the Role

* 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)).

## Description

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


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