S
DevSecOps AI Engineer
Silotech Group
3 hours ago
Full-time
On-site
San Antonio, Texas, United States
If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.
Operations Management Full Time San Antonio, TX, US
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
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
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 fundamentalsAbility 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
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.
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Operations Management Full Time San Antonio, TX, US
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
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
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 fundamentalsAbility 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
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.
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