GenAI AI/ML Delivery Architect

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

Benefits offered by this job

Health insurance

401(k) matching

RSUs/Stock options

Job summary

Amazon Web Services, Inc. is seeking a skilled ML Engineer to join the Professional Services (ProServe) team as a Delivery Consultant in Arlington, VA. You will design, implement, and manage AWS AI/ML and GenAI solutions, collaborating with customers to meet technical and business goals.

You will architect scalable AI/ML pipelines, apply MLOps best practices, and guide customers through migration to AWS while sharing knowledge and industry insights across teams.

Qualifications

• 3+ years of software development or scripting language experience.
• 3+ years of building ML and generative AI models for business applications.
• Experience with cloud services related to ML (e.g., Amazon SageMaker) and GenAI applications.

Responsibilities

• Implement end-to-end AI/ML and GenAI projects from understanding business needs to data prep, model development, deployment and monitoring.
• Design scalable ML pipelines that are high-performance, reliable, scalable and secure.
• Design MLOps solutions using AWS services and GenAI where applicable.
• Collaborate with cross-functional teams to prepare, analyze, and operationalize data and AI/ML models.
• Serve as a trusted advisor on AI/ML and cloud architectures for customers.
• Share knowledge and best practices within the organization through mentoring and training.
• Ensure solutions meet industry standards and support cloud adoption strategies.

Skills

Software development

ML models

AWS ML services

GenAI applications

Tools

SageMaker

Bedrock

EC2

ECS

EKS

OpenSearch

LangChain

LangGraph

LlamaIndex

Job description

Amazon Web Services, Inc. is seeking a skilled ML Engineer to join the Professional Services (ProServe) team as a Delivery Consultant in Arlington, VA. You will design, implement, and manage AWS AI/ML and GenAI solutions, collaborating with customers to meet technical and business goals.

You will architect scalable AI/ML pipelines, apply MLOps best practices, and guide customers through migration to AWS while sharing knowledge and industry insights across teams.