AI Full Stack Solutions Engineer - Newark, NJ

Military Spouse Corporate Career Network•Newark, NJ
•Hybrid

About The Position

The AI Solutions Engineer (Full Stack) evaluates, prototypes, designs, develops, and delivers enterprise AI solutions across an 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 solution patterns. The engineer actively builds and delivers AI-enabled applications and solutions, partnering with business stakeholders and enterprise technology teams—including platform owners and cybersecurity—to prototype, implement, and operationalize AI capabilities across the enterprise.

Responsibilities

  • Lead and oversee the design, development, testing, and deployment of 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.
  • 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 proof-of-concepts to validate AI use cases and business value.
  • Evaluate emerging AI technologies and enterprise platforms to determine the best-fit solution.
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