GenAI & ML Delivery Lead — Cloud AI Solutions

Amazon; San Francisco (CA); On-site; USD 177,000 - 239,000; Full time

Job summary

Amazon Web Services (AWS) Professional Services seeks an ML Engineer Delivery Consultant to design, implement, and manage AI/ML and GenAI solutions for enterprise customers. You will lead projects from data prep through deployment, applying AWS services and best practices to ensure success.

You will guide cross-functional teams, mentor colleagues, and help customers accelerate cloud adoption while delivering high-quality ML solutions on AWS.

Qualifications

• Bachelor’s degree in business administration, finance, economics, computer science, data science, engineering, or other related field.
• Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience
• 5+ years of cloud architecture and solution implementation experience
• 5+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience
• 5+ years leading technical teams and hands‑on experience focused on data, software, or ML engineering, with understanding of distributed computing (e.g., data pipelines, training and inference, ML infrastructure design)
• 5+ years developing predictive modeling, natural language processing, and deep learning, with experience in building and deploying ML models on cloud (e.g., Amazon SageMaker or similar)

Responsibilities

• Leading project teams and implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring
• Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads
• Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable
• Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models
• Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
• Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts
• Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies

Skills

Cloud architecture

Python/Java/Bash/Perl

Leading technical teams

ML engineering

Data pipelines

Distributed computing

Predictive modeling/NLP/DL

SageMaker

Education

Bachelor’s degree in CS/Engineering or related field

Bachelor’s degree in business/finance/economics or related field

Tools

Terraform

CloudFormation/CDK

Containers & CI/CD Pipelines

MLFlow/Kubeflow

Airflow

LangChain

Job description

Amazon Web Services (AWS) Professional Services seeks an ML Engineer Delivery Consultant to design, implement, and manage AI/ML and GenAI solutions for enterprise customers. You will lead projects from data prep through deployment, applying AWS services and best practices to ensure success.

You will guide cross-functional teams, mentor colleagues, and help customers accelerate cloud adoption while delivering high-quality ML solutions on AWS.