Senior Platform Engineer (AI Applications)

This is a Fully Remote Job

About Our Client:

The organization operates within the federal data and AI program space, addressing the challenge of transforming AI designs and models into fully operational, secure, and integrated capabilities. It focuses on building application services, APIs, and enterprise integrations that enable data and AI programs to function effectively within a federal authorization environment. This team plays a critical role in delivering AI-powered solutions at scale within government programs, maintaining ongoing ownership and support.

About the Opportunity:

The SENIOR PLATFORM ENGINEER (AI APPLICATIONS) is responsible for developing and maintaining backend services, APIs, and enterprise integrations that convert AI capabilities from design to production. This role ensures that AI services are securely deployed, integrated with enterprise platforms and identity providers, and remain operational through maintenance and incident response. The position is fully remote within the U.S. and requires an active Secret clearance.

Responsibilities:

• Design, develop, and maintain backend services and APIs using Python, Java, Go, or TypeScript.
• Create front-end components or internal tools as needed.
• Uphold code quality through reviews and automated testing.
• Architect services to handle failures gracefully.
• Build and maintain integrations with ServiceNow, data platforms, and internal APIs using REST, messaging, and event-driven patterns.
• Integrate services with enterprise identity providers using OAuth 2.0, OIDC, and SAML.
• Ensure integrations fail loudly to facilitate quick issue detection.
• Provide technical details for cross-team coordination and execute engineering tasks accordingly.
• Develop and maintain CI/CD pipelines including build, test, security scanning, and deployment.
• Embed security practices such as SAST, DAST, dependency and container scanning, secrets management, and least-privilege access.
• Manage authorization package efforts including evidence control, hardening, and remediation.
• Implement AI features designed by architects, including LLM-backed services and retrieval-augmented generation.
• Build application layers for models including prompt management, evaluation, guardrails, and cost tracking.
• Monitor AI features for quality, latency, cost, and safety, adjusting as needed.
• Deploy and operate services in AWS or Azure government regions using infrastructure as code and container orchestration.
• Collaborate with platform engineers on shared cloud and agent infrastructure.
• Implement observability features such as logging, metrics, tracing, and alerting.
• Break down capabilities into deliverables, estimate work, identify risks, and communicate dependencies.
• Produce runbooks, documentation, and handoff materials.
• Lead post-incident remediation and prevention efforts.

Requirements:

• 8+ years of software engineering experience with at least 3 years owning production services end to end.
• Proficiency in at least one backend language: Python, Java, Go, or TypeScript.
• Experience designing RESTful APIs and backend services.
• Ability to implement and maintain enterprise integrations and identity provider connections.
• Experience with CI/CD pipelines and embedding security testing.
• Familiarity with cloud deployment in AWS or Azure, including government regions.
• Knowledge of container orchestration and infrastructure as code.
• Active Secret clearance.

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.