Note: The job is a remote job and is open to candidates in USA. Silotech Group, Inc. is seeking an AI Engineer to architect, secure, deploy, and commercialize AI-enabled platforms for government and enterprise missions. The role focuses on secure cloud engineering, AI/ML operationalization, DevSecOps, and transitioning prototypes into production-ready products.

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
• Ability to obtain and maintain a U.S. Government security clearance preferred
• 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
• 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

Benefits

• Remote / Hybrid (US Domestic)

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