Effectual is looking for an AI Cloud Engineer (1099-BOP) to deliver customer-facing projects with technical excellence. In this role, you will design, deploy, modernize, and optimize AI-enabled cloud environments in AWS, accelerating migrations and advising on AI strategy. You'll be responsible for hands-on engineering, architectural oversight, and implementing secure, scalable, compliant solutions. As an Effectual team member, you are expected to be a 'Brand Ambassador' and stay current on leading practices to deliver high-quality solutions.

What You'll Do

Provide technical leadership in AI adoption strategy and recommend scalable AI solutions aligned with mission requirements.
Design and implement scalable, secure AWS AI cloud architectures and solutions.
Lead migration of legacy systems to AWS, including re-architecture, refactoring, containerization, and modernization.
Deploy AI solutions using AWS services such as SageMaker, Bedrock, Kiro, Lambda, ECS, and EKS.
Utilize AI-assisted engineering tools including Kiro to improve development velocity and solution quality.
Conduct performance tuning and cost optimization for AI cloud workloads.
Develop and manage Infrastructure as Code using tools like CloudFormation or Terraform.
Engineer CI/CD pipelines for AI model deployment and cloud infrastructure automation.
Implement MLOps practices including model versioning, monitoring, retraining workflows, and performance optimization.
Ensure compliance with security standards including FedRAMP and NIST.
Assess current environments, identify architectural gaps, and implement corrective improvements.
Collaborate with cross-functional teams including cybersecurity, DevSecOps, and program leadership.
Provide architecture documentation, technical briefings, and implementation guidance to leadership.
Stay updated with emerging AI cloud technologies, industry trends, and best practices.

What We're Looking For

Bachelor’s degree in a related discipline AND AWS Professional Certification(s) and AWS Certified Machine Learning - Specialty.
Minimum of 8 years of experience in specialized AI cloud technologies including 4 years specializing in AWS AI cloud technologies.
Alternative: 10 years of on-the-job experience in lieu of a Bachelor’s Degree.
Must be a US Citizen.
Proven experience architecting AI solutions in secure, compliance-driven ecosystems.
Deep expertise in AWS AI services including model development, deployment, and integration.
Strong experience in cloud-native architecture, automation, and DevSecOps practices.
Proven experience modernizing legacy systems and implementing cloud transformation strategies.
Experience designing scalable AI pipelines using managed cloud services.
Strong understanding of federal security compliance frameworks and cloud governance.
Experience performing cloud cost modeling and AI workload financial optimization.
Strong problem-solving and troubleshooting skills.
Excellent communication and collaboration skills to work with cross-functional teams.
Ability to work with multiple clients in parallel.
Ability to work an Eastern Standard Time Zone schedule.

Nice to Have

Active Clearance or Public Trust (DOJ Preferred).
Familiarity with generative AI architectures and large language model deployment.
Experience with container orchestration platforms including Kubernetes and EKS.
Strong background in DevSecOps practices within regulated government programs.
Experience integrating AI into enterprise ERP, data lake, or mission systems.
Knowledge of Zero Trust architectures within cloud environments.
Experience advising executive leadership on AI adoption strategy and digital transformation initiatives.

Technical Stack

AWS
SageMaker
Bedrock
Kiro (formerly Amazon Q Developer)
Lambda
ECS
EKS
CloudFormation
Terraform
Kubernetes

Team & Environment

You will be a member of the Public Sector Program Management team and collaborate with cross-functional teams including cybersecurity, DevSecOps, and program leadership.