Senior GenAI & AI/ML Delivery Lead

Amazon Web Services (AWS); Atlanta (GA); Hybrid; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services (AWS) ProServe Delivery Consultant role focuses on designing, implementing, and managing AI/ML and GenAI solutions for enterprise customers. You will lead project teams, perform hands-on ML development, and guide migration strategies to AWS.

The role requires 5+ years in cloud architecture and ML engineering, plus hands-on experience with Python/Java and ML frameworks. Travel to customer sites may be involved as part of engagements.

Qualifications

• Bachelor’s degree in CS or related field and 5+ years in cloud architecture and ML engineering.
• 5+ years leading technical teams and data/ML projects with distributed computing knowledge.
• 5+ years building predictive modeling, NLP, and deep learning on cloud platforms.

Responsibilities

• Lead project teams and deliver end-to-end AI/GenAI solutions for customers.
• Design scalable ML pipelines and secure ML workloads on AWS.
• Drive data preparation, model development, deployment, and monitoring.
• Collaborate with Applied Science, DevOps, Data Engineering, and Cloud Infra teams.
• Advise customers on AI/ML architectures and AWS best practices.
• Mentor peers and create reusable artifacts and playbooks.
• Ensure alignment with industry standards and cloud adoption strategies.

Skills

Cloud architecture

Leadership

Distributed computing

Python/Java

ML engineering

GenAI/NLP basics

Education

Bachelor's degree in CS/Engineering/Data science

Tools

Terraform

CloudFormation

CDK

Kubeflow

Airflow

Docker

Job description

Amazon Web Services (AWS) ProServe Delivery Consultant role focuses on designing, implementing, and managing AI/ML and GenAI solutions for enterprise customers. You will lead project teams, perform hands-on ML development, and guide migration strategies to AWS.

The role requires 5+ years in cloud architecture and ML engineering, plus hands-on experience with Python/Java and ML frameworks. Travel to customer sites may be involved as part of engagements.