Job description

Overview 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. 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 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. Location Remote / Hybrid (US Domestic) Clearance Ability 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 Equal Opportunity Employer Statement Silotech Group, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by federal, state, or local law. Silotech Group participates in E-Verify. Reasonable accommodations available upon request. Silotech strongly encourages applications from veterans, military spouses, and members of the Reserve and National Guard.

Requirements

Must-haves

Remote / Hybrid (US Domestic)
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

Nice-to-haves

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
Desired Traits
Builder mindset with strong ownership and execution skills
Comfortable operating in ambiguity and rapidly evolving technical environments

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlawsci/cdpythongorustjavascripttypescriptdockerkubernetesllm

Platform: adp-workforce-now
Effort: medium