Senior Platform Engineer (AI Applications)

Senior Platform Engineer (AI Applications) Improvix Technologies | Federal Program | Fully Remote
Fully Remote (U.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. Genuinely remote, genuinely cleared.

A cleared federal data and AI role you can do from anywhere in the U.AI services, enterprise platforms, identity, and data sources meet in the code you write. Applied AI that reaches real users.

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.
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.
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.
Give the Technical Delivery & Integration Lead the technical detail behind each cross-team request, and execute the engineering work once dependencies clear.
Build and own CI/CD pipelines with automated build, test, security scanning, and deployment.
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: Build the application layer around models — prompt and configuration management, evaluation hooks, guardrail enforcement, and usage and cost tracking.
Monitor AI features in production for quality, latency, cost, and safety, and tune them as usage grows.
Cloud & Runtime
Deploy and run your services in AWS or Azure, including their government regions, using infrastructure as code and containers on Kubernetes or managed equivalents.
Partner with the Senior Agentic Platform Engineer on the shared cloud, model-hosting, and agent infrastructure your services run on.
Break capabilities into deliverable increments, estimate honestly, and surface risks and dependencies while there’s still time to act on them.
Write the runbooks, technical documentation, and handoff material that let someone else support what you built.
These are the requirements — everything in “Bonus Points” below is genuinely optional. 8+ years of software engineering experience, including 3+ years building and owning production services end to end.
~ Strong programming ability in at least one backend language — Python, Java, Go, or TypeScript — and a track record designing RESTful APIs and services other systems depend on.
~ Hands-on experience integrating with enterprise platforms — ServiceNow or a comparable system — through APIs, messaging, or event streaming.
~ Experience building and maintaining CI/CD pipelines — GitLab CI, GitHub Actions, Azure DevOps, or Jenkins — with integrated security scanning.
~ At least one AI or ML capability delivered to production — an LLM-backed service, a RAG feature, or a model integration — not a notebook and a demo.
~ Working experience deploying to AWS or Azure with infrastructure as code (Terraform, CloudFormation, or Bicep) and containers (Docker and Kubernetes or a managed equivalent).
~ Experience building observability into systems and supporting them in production, including incident response.
~ The ability to work independently on a remote team and explain a technical tradeoff to engineers and non-technical stakeholders alike.
~ Bachelor’s degree in a technical field, or an equivalent combination of education and directly relevant experience.
~ S. citizenship and an active Secret clearance.
~ BONUS POINTS
ServiceNow-specific integration depth — IntegrationHub, MID Server, Scripted REST APIs, or Flow Designer.
Hands-on deployment in AWS GovCloud or Azure Government.
Experience with model hosting services such as Amazon Bedrock or Azure OpenAI, vector databases, and LLM frameworks.
Experience building tools or APIs that AI agents call, including tool-calling or Model Context Protocol (MCP) integrations.
Certifications — CompTIA Security+ or another DoD 8140 baseline, AWS or Azure developer or professional-level, or Certified Kubernetes Application Developer (CKAD).
Prior experience supporting federal or defense customers in a cleared environment.
On remote work:

this role is fully remote within the U.and we mean it — no quiet expectation that youll relocate to DC in six months, and no “remote for now.” A straight answer on breadth:

this role spans services, integrations, security, AI features, and the cloud they run on, and nobody arrives expert in all of them. We expect real depth in building and integrating software and the willingness to get competent in the rest quickly. At Improvix Technologies, we dont just deliver IT solutions — we deliver mission success. Our teams support critical government programs by building secure, innovative, and scalable technology that helps agencies operate more efficiently and securely.
We believe great technology starts with great people, so we invest in our employees growth, well-being, and long-term success. Competitive compensation and performance-based incentives
~Comprehensive medical, dental, and vision insurance
~ Life insurance and disability coverage
~ Professional development and paid training opportunities

Improvix Technologies, Inc. is an Equal Opportunity Employer and is committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by federal, state, or local law.
Improvix is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and employment process. Security Clearance / Citizenship Requirements
S. government security clearance.