1099 DevSecOps AI Engineer - USSF XC3

• 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

We 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 1099 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., Ability to obtain and maintain a U.S. Government security clearance preferred., * 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

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

Silotech Group, Inc. is a Woman-Owned Small Business (WOSB) and Service-Disabled Veteran-Owned Small Business (SDVOSB) headquartered in San Antonio, Texas. We deliver full-spectrum cybersecurity, digital transformation, cloud migration, DevSecOps, and emerging technology Research and Development (R&D) solutions across the Department of War (DoW), Intelligence Community (IC), Federal civilian, State, Local and Education (SLED), commercial, and international markets.