AI Platform Integration Engineer

• Design, develop, test, and support services that connect AI applications to enterprise data, APIs, tools, and user interfaces.
• Define stable, versioned API and tool contracts with clear inputs, outputs, permissions, failure behavior, and operational limits.
• Implement secure authentication context, delegated access, tool allowlists, and human approval steps for sensitive operations.
• Build production services using Python, TypeScript, or comparable languages and modern web and service frameworks.
• Deploy and troubleshoot containerized applications in Kubernetes or OpenShift.
• Develop automated unit, integration, end-to-end, and evaluation tests for AI-enabled workflows.
• Instrument applications with structured logs, metrics, traces, and activity records while protecting credentials and sensitive content.
• Diagnose failures across user interfaces, application services, AI services, data systems, gateways, and external APIs.
• Work with identity, data, reliability, platform, and customer teams to deliver integrated capabilities.
• Produce software designs, interface documentation, operating procedures, and customer-facing technical material.

• Experience developing and operating production web services or distributed applications using Python, TypeScript, Java, Go, or a comparable language.
• Experience designing REST, event-driven, or tool-oriented APIs and integrating external services.
• Experience with containers, Kubernetes or OpenShift, Linux, Git, testing, and CI/CD.
• Experience with OAuth 2.0, OpenID Connect, JWT validation, service identity, API authorization, or comparable application-security controls.
• Experience diagnosing distributed application failures using logs, metrics, and traces.
• Ability to communicate technical information clearly and work directly with stakeholders and customer teams.
• Works well in a fast-paced collaborative team environment.
• Active DoD security clearance.

Desired Skills (not required)

• Experience building or integrating AI agents, assistants, retrieval systems, tool-calling applications, or model-serving APIs.
• Experience with model context protocols or comparable tool-integration standards.
• Experience with OpenTelemetry and observability for AI-enabled applications.
• Experience with evaluation frameworks, provenance, human review, or evidence-grounded application behavior.
• Experience with React or another modern user-interface framework.
• Experience with GitOps, Helm, Kustomize, service meshes, or API gateways.
• Strong oral and written communication skills.
• Strong interpersonal and collaboration skills., Bachelor’s degree from an accredited college in engineering, computer science, information technology, or a related discipline, or equivalent experience and combined education, with 5 years of relevant professional experience; or 3 years with a related Master’s degree., * Bachelor’s (Required)

Pulled from the full job description

• 401(k)
• Health insurance
• Retirement plan
• 401(k) matching
• Paid time off
• Dental insurance
• Flexible spending account, * 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Flexible spending account
• Health insurance
• Life insurance
• Paid time off
• Retirement plan