GenAI & ML Delivery Consultant for Enterprise Cloud AI

Amazon; Atlanta (GA); On-site; USD 131,000 - 178,000; Full time

Job summary

Amazon Web Services (AWS) ProServe Delivery Consultant will design, implement, and manage AI/ML and GenAI solutions for enterprise customers. You will collaborate with cross-functional teams to gather requirements, assess infrastructure, and chart migration strategies to AWS.

You will guide customers through best practices, performance optimization, and risk management during the project lifecycle. You will engage with stakeholders to architect scalable AI/ML solutions, leverage AWS services

Qualifications

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

Responsibilities

• Implement end-to-end AI/ML and GenAI projects from requirements to deployment.
• Design scalable ML pipelines that are high-performance, reliable and secure.
• Lead ML/GenAI solutions with AWS services and GenAI where applicable.
• Collaborate with Applied Science, DevOps, Data Engineering, Cloud Infra, Applications teams.
• Serve as a trusted advisor on AI/ML and cloud architectures.
• Share knowledge through mentoring, training and reusable artifacts.
• Ensure solutions meet industry standards and support cloud adoption strategies.

Skills

ML/AI concepts

GenAI experience

Cloud ML services

SageMaker

LangChain / LangGraph

PyTorch / TensorFlow

MLOps pipelines

Cross-functional collaboration

Tools

SageMaker

Bedrock

EC2

ECS

EKS

OpenSearch

LangChain

LangGraph

LlamaIndex

PyTorch

TensorFlow

Job description

Amazon Web Services (AWS) ProServe Delivery Consultant will design, implement, and manage AI/ML and GenAI solutions for enterprise customers. You will collaborate with cross-functional teams to gather requirements, assess infrastructure, and chart migration strategies to AWS.

You will guide customers through best practices, performance optimization, and risk management during the project lifecycle. You will engage with stakeholders to architect scalable AI/ML solutions, leverage AWS services