GenAI & ML Delivery Lead — AWS Pro Services

Amazon Web Services (AWS); Herndon (VA); On-site; USD 131,000 - 178,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSU eligibility

Job summary

Amazon Web Services, Inc. is seeking a skilled ML Engineer to join our ProServe Delivery Consultant team. You will design, implement, and manage AWS AI/ML and GenAI solutions for enterprise customers, aligning technical outcomes with business goals.

You will lead end-to-end ML projects, collaborate with cross-functional teams, ensure secure, scalable architectures, and share best practices. This customer-facing role may require travel to client sites.

Qualifications

• 3+ years of software development or scripting language experience.
• 3+ years of building machine learning and generative AI models for business applications.

Responsibilities

• Implement end-to-end AI/ML and GenAI projects from understanding business needs to data preparation, model development, deployment and monitoring.
• Design and implement machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
• Design scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
• Collaborate with cross-functional teams to prepare, analyze, and operationalize data and AI/ML models.
• Serve as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures.
• Share knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.

Skills

Software development

ML model development

AWS ML services

Tools

SageMaker

Bedrock

EC2

ECS

EKS

OpenSearch

LangChain

Job description

Amazon Web Services, Inc. is seeking a skilled ML Engineer to join our ProServe Delivery Consultant team. You will design, implement, and manage AWS AI/ML and GenAI solutions for enterprise customers, aligning technical outcomes with business goals.

You will lead end-to-end ML projects, collaborate with cross-functional teams, ensure secure, scalable architectures, and share best practices. This customer-facing role may require travel to client sites.