AWS Engineer with AI/ML

Role: AWS Engineer with AI/ML
Location: Cincinnati, OH 45202 (Onsite)
Job Type : Contract-to-Hire after 6 months

Position Overview

We are seeking an experienced AWS Cloud & AI Platform Engineer II to enable and advance enterprise AI and Machine Learning capabilities within a secure, scalable, and governed cloud environment.
The engineer will design, implement, and support AWS-based AI/ML and Generative AI platforms, enabling experimentation, proof of concepts, model development, and enterprise adoption of AI solutions.
This role will work closely with engineering, infrastructure, security, risk, data, and business teams to build reusable AI platform capabilities aligned with enterprise technology, security, regulatory, and operational standards.

Key Responsibilities

AI Platform Engineering & Enablement
Design, implement, and support secure and scalable AI/GenAI platform capabilities.
Build reusable frameworks, services, architectural patterns, and enablement environments.
Architect and maintain AWS cloud infrastructure usingbInfrastructure as Code (IaC) and automation.

Support AWS AI/ML services including:
Amazon Bedrock
Amazon SageMaker
Amazon S3
AWS Lambda
API Gateway
Amazon Lex
Enable AI/ML experimentation, POCs, and production-ready solutions.
Evaluate and operationalize emerging AI/ML and Generative AI technologies.
Develop AI platform standards, reference architectures, guardrails, and best practices.
Support structured and unstructured data integrations and enterprise AI services.

Generative AI & AI/ML

Enable Generative AI capabilities including:
Prompt Engineering
RAG
Model orchestration
AI evaluation frameworks
Tool integration
Agentic AI
Work with frameworks such as LangChain and LlamaIndex.
Support MCPs, vector databases, and enterprise AI integration architectures.
Support model lifecycle management, observability, monitoring, and AI evaluation.
Contribute to responsible and governed AI adoption.

AWS Cloud & Platform Engineering

Provision, configure, automate, monitor, and support AWS cloud environments.
Implement cloud infrastructure using Terraform, CloudFormation, or similar IaC tools.
Develop CI/CD pipelines and DevOps automation.
Support AWS services including:
IAM
CloudWatch
S3
Lambda
API Gateway
Bedrock
SageMaker
Design scalable, resilient, and operationally efficient cloud environments.

Collaboration & Technical Leadership

Partner with engineering, infrastructure, security, risk, data, and business teams.
Lead technical exploration and evaluation of emerging technologies.
Develop technical documentation, architecture guidance, operational procedures, and governance artifacts.
Collaborate with Agile squads and platform engineering teams.
Help establish best practices for enterprise AI platform development and deployment.
Take ownership of assigned platform initiatives and deliver solutions aligned with business priorities.

Required Qualifications :

Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or related technical field.
12+ years of experience in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise technology delivery.
Hands-on experience with AWS cloud platforms and AI/ML technologies.
Experience supporting or operationalizing Generative AI and AI/ML platforms.
Strong experience with cloud infrastructure automation, DevOps, and IaC.
Experience working with enterprise engineering, security, risk, infrastructure, data, and business teams.

 Must-Have Technical Skills

AWS Cloud
AI Risk Management
Generative AI / AI/ML
Amazon Bedrock
Amazon SageMaker
S3, Lambda, API Gateway
IAM & CloudWatch
Terraform / CloudFormation
CI/CD & DevOps
Python
SQL
REST APIs / Cloud Integrations
RAG
Prompt Engineering
AI/ML Model Evaluation
LangChain / LlamaIndex
Vector Databases
Agentic AI
MCP
AI governance, security, risk, and compliance