AI Full Stack Solutions Engineer - Newark, NJ

VetJobs • Newark, NJ

3d • $121,200 - $199,200 • Hybrid

About The Position

The AI Solutions Engineer (Full Stack) evaluates, prototypes, designs, develops, and delivers enterprise AI solutions across a rapidly evolving technology landscape. The role combines hands-on AI engineering, full-stack application development, solution architecture, cloud integration, and technology evaluation to accelerate enterprise AI adoption and establish scalable, secure, reusable AI solution patterns.

The position actively builds and delivers AI-enabled applications and solutions, partnering with business stakeholders and enterprise technology teams, platform owners, and cybersecurity teams to prototype, implement, and operationalize AI capabilities across the enterprise. Work is hybrid, with at least three onsite days per week.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 8 or more 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. Where applicable, the successful applicant must meet one of the stated citizenship, permanent-residency, or protected-individual eligibility conditions.

Nice To Haves

• 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.

Responsibilities

• Lead and oversee the design, development, testing, and deployment of enterprise AI solutions, AI agents, copilots, APIs, and intelligent workflows.
• Lead the development of AI-enabled applications, reusable services, and integrations using enterprise AI platforms and cloud technologies.
• Deliver solutions end to end, from proof of concept through production deployment.
• Collaborate with IT teams to operationalize, optimize, and support AI solutions.
• 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.
• 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.
• 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.
• Develop rapid proofs of concept to validate AI use cases and business value.
• Evaluate emerging AI technologies and enterprise platforms to determine the best-fit solution.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior