Senior Platform Engineer (AI Applications)

Senior Platform Engineer (AI Applications)

Improvix Technologies Federal Program Fully Remote

Location: Fully Remote (U.S.)

Clearance: Active Secret clearance required.

Employment Type: Full-Time

THE ARCHITECTURE DIAGRAM DOESN’T DEPLOY ITSELF

Every data and AI program reaches the same moment. The architecture is approved, the model works in a notebook, and the integration pattern looks clean on a whiteboard. Then someone has to build the service, wire it into ServiceNow and the identity provider, get it through the pipeline and the security scan, and keep it running when an upstream API changes its response format overnight. That person is usually the difference between a capability that ships and one that stays a slide.

Improvix Technologies is hiring a Senior Platform Engineer to build and own the application services, APIs, and enterprise integrations that turn a federal data and AI program into working capability. You’ll take capabilities from design through production — through the security pipeline and the authorization process — and you’ll own what you build after it goes live.

This is a hands-on software engineering role, and it’s fully remote. The team already has deep AI and data expertise in an AI Solutions Architect, platform and agent infrastructure depth in a Senior Agentic Platform Engineer, and a Technical Delivery & Integration Lead who clears the path across partner teams. What it needs is the engineer who builds and connects the services between them. If your strength is infrastructure alone, or models alone, this will be a harder fit than the title suggests.

WHY ENGINEERS TAKE THIS ROLE

• Genuinely remote, genuinely cleared. A cleared federal data and AI role you can do from anywhere in the U.S. is genuinely rare. That’s not a perk we bolted on — it’s how the program runs.
• You own the capability, not a ticket. You take a capability from approved design to production and stay its named owner after launch — no handoff to an ops team that has to learn it from scratch.
• You’re the one who connects it all. AI services, enterprise platforms, identity, and data sources meet in the code you write. On this team, the integrations are the product, not an afterthought.
• Applied AI that reaches real users. You’ll put LLM-backed services and retrieval features into production inside a real authorization boundary, not a sandbox that never leaves the demo.
• Specialists on either side of you. An AI architect, an agentic platform specialist, and a delivery lead who handles cross-team coordination — so your time goes to building, not chasing approvals or reinventing the model layer.

WHAT YOU’LL OWN

Application Services & APIs

• Design, build, and maintain backend services and APIs in Python, Java, Go, or TypeScript that put data and AI capabilities in front of users and systems.
• Build front-end components or internal tooling where a capability needs them.
• Hold the line on code quality through reviews, automated testing, and shared engineering standards.
• Design services for failure: timeouts, retries, idempotency, and clear behavior when a dependency is down.

Enterprise Integrations & Identity

• Build and maintain integrations with ServiceNow, enterprise data platforms, and internal APIs — REST, messaging, and event-driven patterns, with real error handling and monitoring.
• Integrate services with enterprise identity providers using OAuth 2.0, OIDC, and SAML, including service-to-service authentication and least-privilege authorization.
• Design integrations that fail loudly rather than quietly, so a broken sync is caught in minutes rather than discovered by a user weeks later.
• Give the Technical Delivery & Integration Lead the technical detail behind each cross-team request, and execute the engineering work once dependencies clear.

DevSecOps & Authorization

• Build and own CI/CD pipelines with automated build, test, security scanning, and deployment.
• Embed security across the lifecycle: SAST and DAST, dependency and container scanning, secrets management, and least-privilege access.
• Own the ATO work for your capabilities — control implementation evidence, STIG or equivalent hardening, and remediation of findings — so authorization isn’t a scramble at the end.

Applied AI

• Turn designs from the AI Solutions Architect into production features: LLM-backed services, retrieval-augmented generation (RAG), and model …