AI Platform Integration Engineer

CohesionForce, Inc; Huntsville (AL); On-site; USD 110,000 - 170,000; Full time

Job summary

CohesionForce, Inc. seeks an AI Platform Integration Engineer to join our Huntsville team. You will integrate AI-enabled applications, data services, and external tools into reliable customer workflows using Python, TypeScript, and modern web frameworks.

You will design stable APIs, implement secure authentication, and deploy containerized services in Kubernetes/OpenShift while ensuring observability and robust testing in a fast-paced, security-conscious environment.

Qualifications

• Bachelor's degree in engineering, computer science, cybersecurity, information technology or related discipline, with 5 years of experience, or 3 years with a related Master's degree.
• Experience building and operating production web services or distributed applications in Python, TypeScript, Java, Go, or similar languages.
• 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 similar security controls.
• Ability to communicate technical information clearly with stakeholders and teams.
• Works well in a fast-paced, collaborative environment.
• Willingness to work onsite in a closed/classified area.
• Active DoD Secret clearance.

Responsibilities

• Design, develop, test, and support services connecting AI applications to enterprise data, APIs, tools, and UIs.
• Define stable, versioned API and tool contracts with inputs, outputs, permissions, and failure behavior.
• Implement secure authentication contexts, delegated access, and human approvals for sensitive ops.
• Build production services using Python or TypeScript and modern web/frameworks.
• Deploy and troubleshoot containerized apps in Kubernetes or OpenShift.
• Develop automated tests across unit, integration, and end-to-end workflows.
• Instrument apps with logs, metrics, traces while protecting credentials.
• Diagnose failures across UIs, services, AI, data systems, and external APIs.
• Collaborate with identity, data, reliability, platform, and customer teams to deliver integrated capabilities.
• Produce software designs, interface docs, and customer-facing technical material.

Skills

Python

TypeScript

REST APIs

Kubernetes

OpenShift

CI/CD

OAuth 2.0

OpenID Connect

JWT validation

React

Education

Bachelor's degree in engineering or CS

Tools

Kubernetes

OpenShift

Docker

Git

React

Job description

Job Title: AI Platform Integration Engineer
Reference: 26-027
Job Type: Full-time
Job Status: Interviewing
Date Posted: 09-15-2026
Location: Huntsville
Duration: Permanent
Company Address: CohesionForce, Inc.
Street: 101 Quality Circle
Suite: Suite 140
City: Huntsville, AL 35806
Website: http://www.CohesionForce.com

Job Description

CohesionForce is actively seeking candidates for an AI Platform Integration Engineer to become part of our team in Huntsville, AL. This individual will integrate AI-enabled applications, agent services, user interfaces, data services, and external tools into reliable customer workflows. The engineer will combine strong software development practices with practical attention to identification, authorization, observability, evaluation, and safe operation.

Responsibilities include

• 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 allow lists, 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.

Basic Qualifications

• Bachelor’s degree in an engineering, computer science, cybersecurity, information technology or a related discipline, or equivalent experience and combined education, with 5 years of experience, or relevant professional experience; or 3 years with a related Master’s degree.
• 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.
• Must be willing to work onsite in a closed/classified area.
• Active Department of Defense (DoD) Secret clearance.

Preferred Qualifications

• 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.