AWS AI Platform Engineer — GenAI & Enterprise Enablement

Eliassen Group; Cincinnati (OH); On-site; Confidential; Full time

Job summary

Eliassen Group seeks an AWS AI Platform Engineer to enable enterprise AI within a secure, governed environment in Cincinnati. You will architect and maintain AI enablement platforms, integrating data sources and cloud-native services across the AWS stack, including Bedrock and SageMaker.

You will collaborate with engineering, security, risk, and business stakeholders to drive innovation while adhering to governance standards and regulatory requirements.

Qualifications

• 9+ years in cloud platform engineering, AI/ML enablement, or enterprise tech within secure environments.
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• Experience enabling AI/ML and GenAI platforms on AWS.
• Proficient with IaC and CI/CD using Terraform, Jenkins, CloudFormation, GitHub, or similar.

Responsibilities

• Enable, architect, and support secure, governed, scalable AI and GenAI platform capabilities.
• Design, implement, and maintain AI enablement environments and reusable patterns.
• Architect and maintain AWS cloud-based AI platform infrastructure and services using IaC and pipelines.
• Enable and support AWS AI/ML and cloud-native services such as Bedrock, SageMaker, S3, and Lambda.
• Collaborate with engineering, security, risk, data, and business stakeholders to onboard AI solutions.
• Evaluate and operationalize emerging AI/ML technologies for enterprise use cases.
• Establish AI platform standards, guardrails, and best practices for secure development.
• Document architectures, procedures, and governance artifacts for AI enablement.

Skills

AWS Cloud

Python

IaC

CI/CD

GenAI

LangChain

SageMaker

Bedrock

S3

Education

Bachelor's degree in Computer Science/Engineering/Data Science/etc.

Tools

Terraform

Jenkins

CloudFormation

GitHub

Job description

Eliassen Group seeks an AWS AI Platform Engineer to enable enterprise AI within a secure, governed environment in Cincinnati. You will architect and maintain AI enablement platforms, integrating data sources and cloud-native services across the AWS stack, including Bedrock and SageMaker.

You will collaborate with engineering, security, risk, and business stakeholders to drive innovation while adhering to governance standards and regulatory requirements.