GenAI & ML Delivery Architect

Amazon Web Services (AWS); Herndon (VA); On-site; USD 130,000 - 195,000; Full time

Job summary

Amazon Web Services, Inc. is seeking an experienced ML Engineer to join the ProServe team as a Delivery Consultant.

You will work with customers to design, implement, and manage AI/GenAI solutions on AWS that meet technical requirements and business goals. You will architect scalable, secure AI/ML architectures, lead the implementation lifecycle, collaborate with cross-functional teams, mentor colleagues, and help customers adopt GenAI across their cloud journey.

Qualifications

• 3 years of software development experience.
• 3 years building ML and GenAI models for business applications.
• Experience with cloud services related to machine learning (e.g., SageMaker) and GenAI applications.

Responsibilities

• Implement end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
• Design scalable ML pipelines that support high-performance, reliable, scalable, and secure ML workloads.
• Design scalable ML solutions and operations (MLOps) using AWS services and 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 reusable artifacts.
• Ensure solutions meet industry standards and support customers in advancing AI/ML, GenAI, and cloud adoption strategies.

Skills

Software development

GenAI/ML models

Cloud ML services

ML pipelines

Data preprocessing

Tools

SageMaker

Bedrock

EC2

ECS

EKS

OpenSearch

LangChain

LangGraph

LlamaIndex

PyTorch

TensorFlow

Job description

Amazon Web Services, Inc. is seeking an experienced ML Engineer to join the ProServe team as a Delivery Consultant.

You will work with customers to design, implement, and manage AI/GenAI solutions on AWS that meet technical requirements and business goals. You will architect scalable, secure AI/ML architectures, lead the implementation lifecycle, collaborate with cross-functional teams, mentor colleagues, and help customers adopt GenAI across their cloud journey.