AI Cloud Engineer (1099-BOP)

Effectual is a company focused on delivering customer-facing projects with exceptional technical excellence. The AI Cloud Engineer is responsible for designing, deploying, and optimizing AI-enabled cloud environments, ensuring customer satisfaction while leading migration efforts and implementing scalable solutions in AWS.

Responsibilities:

• 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 efforts
• Deploy AI solutions using AWS services such as SageMaker, Bedrock, Kiro, Lambda, ECS, EKS, and related services
• Utilize AI-assisted engineering tools including Kiro or equivalent platforms 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 but not limited to FedRAMP and NIST
• Assess current environments, identify architectural gaps, and implement corrective improvements
• Collaborate with cross-functional teams, at a minimum, cybersecurity, DevSecOps, and program leadership teams to maintain secure and compliant cloud ecosystems
• Provide architecture documentation, technical briefings, and implementation guidance to leadership
• Stay updated with emerging AI cloud technologies, industry trends, and best practices

Requirements:

• Minimum Education: Bachelor's degree in related discipline
• Certifications: AWS Professional Certification(s) and AWS Certified Machine Learning - Specialty
• Minimum Experience: Must have a minimum of 8 years of experience in specialized AI cloud technologies including 4 years specializing in AWS AI cloud technologies
• Substitution/Alternative to Minimum Education and Experience: 10 years of on-the-job experience in lieu of Bachelor's Degree
• Must be a US Citizen
• Proven experience to architect 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 Eastern Standard Time Zone schedule
• 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