AWS Cloud & GenAI Platform Engineer II

CBTS; Cincinnati (OH); On-site; USD 90,000 - 96,000; Full time

Job summary

CBTS in Cincinnati, OH is seeking a senior cloud platform engineer on a contract basis to lead AWS-based AI enablement initiatives. The role requires a track record with secure, governed environments and deep AWS experience.

You will collaborate with engineering, security, risk, and business teams to operationalize AI platforms, build IaC, and implement scalable data and AI solutions using tools like SageMaker, Bedrock, and Lambda.

Qualifications

• Bachelor’s degree in a technical field with 9+ years of relevant experience.
• Experience enabling, supporting, or operationalizing AI/ML and GenAI platforms in AWS environments.
• Hands-on experience with AWS services, IaC, and DevOps practices for scalable AI/data solutions.
• Collaboration with cross-functional teams to deliver governance-aligned enterprise capabilities.

Responsibilities

• 9+ years of experience in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise technology delivery in secure environments.
• Experience enabling, supporting, or operationalizing AI/ML and GenAI platforms in AWS.
• Hands-on experience with AWS services, infrastructure automation, DevOps/IaC practices, and platform enablement frameworks.
• Collaborate with cross-functional teams to deliver enterprise technology and AI enablement aligned with governance and operational standards.

Skills

AWS

Cloud platform engineering

DevOps / IaC

Python

SQL

APIs

GenAI / AI enablement

LangChain / LlamaIndex

Governance & security awareness

Observability / ML lifecycle

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or a related technical discipline

Tools

Terraform

Jenkins

CloudFormation

GitHub

SageMaker

Lambda

API Gateway

Job description

CBTS in Cincinnati, OH is seeking a senior cloud platform engineer on a contract basis to lead AWS-based AI enablement initiatives. The role requires a track record with secure, governed environments and deep AWS experience.

You will collaborate with engineering, security, risk, and business teams to operationalize AI platforms, build IaC, and implement scalable data and AI solutions using tools like SageMaker, Bedrock, and Lambda.