Note: The job is a remote job and is open to candidates in USA. Silotech Group, Inc. delivers cybersecurity, digital transformation, cloud migration, DevSecOps, and emerging technology solutions across government, enterprise, and other markets. The 1099 DevSecOps AI Engineer will architect, secure, deploy, and operationalize AI-enabled platforms, build DevSecOps infrastructure and pipelines, and help transition prototypes into commercially viable products in regulated cloud environments.
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
Skills
- 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
- 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
Benefits
- Remote / Hybrid (US Domestic)
Company Overview