Senior Platform Engineer, AI Applications

Job Description:

• Design, build, and maintain backend services and APIs in Python, Java, Go, or TypeScript
• Build front-end components or internal tooling when needed
• Maintain code quality through reviews, automated testing, and shared engineering standards
• Design services with timeouts, retries, idempotency, and resilient dependency handling
• Build and maintain integrations with ServiceNow, enterprise 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
• Provide technical details for cross-team requests and execute engineering work after dependencies clear
• Build and own CI/CD pipelines with automated build, testing, security scanning, and deployment
• Implement SAST, DAST, dependency and container scanning, secrets management, and least-privilege access
• Own ATO work, control evidence, STIG or equivalent hardening, and remediation of findings
• Turn AI architecture designs into production LLM-backed services, RAG features, and model integrations
• Manage prompts and configurations, evaluation hooks, guardrails, usage tracking, and cost tracking
• Monitor and tune AI features for quality, latency, cost, and safety
• Deploy and run services in AWS or Azure government regions using infrastructure as code and containers on Kubernetes or managed equivalents
• Build observability with logging, metrics, tracing, alerting, and dashboards
• Break capabilities into deliverable increments, estimate work, and surface risks and dependencies
• Write runbooks, technical documentation, and handoff materials
• Lead post-incident fixes for owned capabilities

Requirements:

• 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
• Track record designing RESTful APIs and services
• Hands-on experience integrating with enterprise platforms such as ServiceNow or comparable systems
• Identity integration experience with OAuth 2.0 and OIDC or SAML, using enterprise identity providers such as Entra ID, Okta, or Keycloak
• Experience building and maintaining CI/CD pipelines with integrated security scanning
• Hands-on ATO or equivalent compliance work, including control evidence, system hardening, and remediation
• At least one AI or ML capability delivered to production, such as an LLM-backed service, RAG feature, or model integration
• Experience deploying to AWS or Azure with infrastructure as code and containers
• Experience with observability and production incident response
• Ability to work independently on a remote team and explain technical tradeoffs to technical and non-technical stakeholders
• Bachelor’s degree in a technical field, or an equivalent combination of education and directly relevant experience
• U.S. citizenship and an active Secret clearance
• Availability during East Coast business hours
• Bonus: ServiceNow IntegrationHub, MID Server, Scripted REST APIs, or Flow Designer
• Bonus: AWS GovCloud or Azure Government deployment experience
• Bonus: FedRAMP, NIST 800-53, and RMF familiarity
• Bonus: Amazon Bedrock, Azure OpenAI, vector databases, or LLM frameworks
• Bonus: LLM evaluation or guardrail tooling
• Bonus: AI-agent tools, tool-calling, or Model Context Protocol integrations
• Bonus: CompTIA Security+, DoD 8140 baseline, AWS/Azure developer or professional certification, or CKAD
• Bonus: Federal or defense customer experience in a cleared environment

Benefits:

• Competitive compensation and performance-based incentives
• 401(k) with company match
• Three weeks of paid annual leave that increases with tenure
• Comprehensive medical, dental, and vision insurance
• Life insurance and disability coverage
• Transit and commuting benefits
• Professional development and paid training opportunities