Skills

Leadership CI/CD Monitoring Prioritization Architecture Machine Learning AWS CI/CD Pipelines Terraform Infrastructure as Code

Job Specifications

About the Role

We're looking for a technically sharp, mission-driven AI Cloud Engineer to join our cloud engineering practice. In this role, you'll own the full lifecycle of AI-enabled cloud solutions — from architecture through deployment — serving federal and public sector clients where security, compliance, and performance are non-negotiable. You'll operate as both a hands-on engineer and a trusted technical advisor, helping clients modernize legacy environments and build AI capabilities that actually work at scale.

What You'll Do

Architect and deploy secure, scalable AI solutions on AWS, leveraging services such as SageMaker, Bedrock, Lambda, ECS, and EKS
Lead end-to-end cloud migrations — including re-architecture, refactoring, and containerization of legacy systems
Build and maintain Infrastructure as Code using Terraform or CloudFormation; engineer CI/CD pipelines for AI model and infrastructure deployment
Implement MLOps practices including model versioning, monitoring, and retraining workflows
Use AI-assisted development tools (e.g., Kiro) to accelerate delivery and improve solution quality
Conduct architecture and security reviews; identify gaps and drive remediation
Ensure solutions meet federal compliance standards including FedRAMP and NIST frameworks
Advise technical and executive stakeholders on AI strategy, roadmap prioritization, and cloud optimization
Collaborate across cybersecurity, DevSecOps, and program teams to maintain secure, compliant environments
Produce architecture documentation and present findings and recommendations to leadership

What You Bring

Bachelor's degree in a related field plus AWS Professional certification(s) and AWS Certified Machine Learning – Specialty
8+ years in cloud and AI technologies, with at least 4 years focused on AWS AI services — or 10 years of equivalent hands-on experience
US Citizenship required
Proven track record architecting AI solutions in compliance-driven, secure environments
Deep familiarity with AWS AI/ML services, cloud-native architecture patterns, and DevSecOps practices
Experience modernizing legacy systems and driving cloud transformation initiatives
Solid understanding of federal security and governance frameworks
Strong communicator comfortable presenting to both technical teams and executive leadership
Able to manage multiple client engagements simultaneously and work Eastern Time Zone hours

Bonus Points

Active security clearance or Public Trust (DOJ preferred)
Experience with generative AI and large language model deployment
Background in DevSecOps within regulated government programs
Familiarity with Zero Trust architecture in cloud environments
Experience integrating AI into enterprise ERP, data lakes, or mission-critical systems
History advising senior leadership on AI adoption and digital transformation strategy

About the Company

Oxenham Group is a talent advisory firm delivering precision recruitment and strategic consulting to highly specific industries. We align high-caliber professionals with mission-focused organizations through a disciplined, purpose-driven process that builds impactful teams and drives lasting results. Tech | Life Science | Finance | Ops | Mission-Focused Know more