OverviewWe are seeking a highly motivated AI Engineer to help architect, secure, deploy, and commercialize next-generation AI-enabled platforms supporting government and enterprise missions. This role sits at the intersection of secure cloud engineering, AI/ML operationalization, platform development, and scalable product delivery.
The ideal resource has experience building and deploying AI-enabled applications in regulated environments, implementing secure cloud-native architectures in AWS GovCloud, and operationalizing solutions from prototype to production-ready commercial offerings. This position is ideal for an engineer who thrives in fast-paced environments, enjoys solving complex technical challenges, and can bridge the gap between research, engineering, cybersecurity, and product commercialization.
LocationRemote / Hybrid (US Domestic)
ClearanceAbility to obtain and maintain a U.S. Government security clearance preferred.
Essential Role and Responsibilities- Design, develop, and maintain secure cloud-native AI platforms and supporting infrastructure
- Build and manage DevSecOps pipelines for AI/ML workloads and enterprise applications
- Deploy and operationalize solutions within AWS GovCloud and other regulated cloud environments
- Support the full lifecycle of AI systems including prototyping, deployment, hardening, monitoring, and sustainment
- Implement secure CI/CD pipelines, infrastructure-as-code, and automated testing frameworks
- Integrate APIs, telemetry sources, enterprise services, and AI orchestration frameworks into scalable workflows
- Collaborate with engineering, security, and product teams to transition prototypes into commercially viable products
- Support compliance initiatives including secure architecture reviews, ATO readiness, and security hardening activities
- Contribute to technical strategy, platform scalability, and product roadmap development
- Assist with technical proposal development, demonstrations, and customer engagements when needed
What You'll Work On- Secure AI-enabled applications and platforms
- Government and enterprise cloud deployments
- AI orchestration and workflow automation
- DevSecOps modernization initiatives
- Production-ready commercialization efforts
- Mission-focused emerging technology solutions
Required Qualifications- Bachelor's degree in Computer Science, Cybersecurity, Engineering, or related technical field (or equivalent experience)
- 5+ years of experience in software engineering, DevSecOps, cloud engineering, cybersecurity, or AI platform development
- Hands-on experience with AWS GovCloud deployments and secure cloud architectures
- Experience building and maintaining CI/CD pipelines using modern DevSecOps practices
- Strong programming experience in one or more languages such as Python, Go, Rust, JavaScript/TypeScript, or similar
- Experience with containerization and orchestration technologies (Docker, Kubernetes, ECS, etc.)
- Familiarity with AI/ML workflows, LLM integrations, or AI-enabled application architectures
- Experience with Infrastructure as Code (Terraform, CloudFormation, Ansible, etc.)
- Understanding of secure software development practices and cybersecurity fundamentals
- Ability to work independently in highly technical and evolving environments
Preferred Qualifications- Experience deploying AI/ML workloads in classified, regulated, or mission-critical environments
- Familiarity with agentic AI systems, RAG pipelines, vector databases, or AI orchestration frameworks
- Experience supporting ATO, RMF, FedRAMP, IL5/IL6, or related compliance efforts
- Knowledge of secure enclave architectures and air-gapped deployment models
- Experience with AI product commercialization, transition-to-production efforts, or dual-use technology development
- Background in cybersecurity operations, threat detection, or offensive/defensive security engineering
- Active or previously held U.S. Government security clearance
- Experience supporting DoD, federal, or national security customers
Desired Traits- Builder mindset with strong ownership and execution skills
- Comfortable operating in ambiguity and rapidly evolving technical environments
- Strong communication skills with both technical and non-technical stakeholders
- Passion for emerging AI technologies and secure system design
- Ability to balance innovation with operational reliability and security
