AI/ML Delivery Architect - ProServe

Amazon Web Services (AWS); New York (NY); On-site; USD 145,000 - 195,000; Full time

Benefits offered by this job

health insurance

401(k) matching

paid time off

parental leave

Job summary

Amazon Web Services (AWS) Professional Services seeks a skilled ML Engineer to design, implement, and manage AI/ML and GenAI solutions for enterprise customers. You will lead end-to-end ML projects, collaborating with cross-functional teams to drive success in cloud adoption and best practices across the project lifecycle.

You will work with stakeholders to gather requirements, architect scalable AI/ML systems on AWS, and mentor others while traveling to customer sites as needed.

Qualifications

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

Responsibilities

• End-to-end AI/ML and GenAI project delivery from needs to deployment and monitoring
• Design ML pipelines that are scalable, reliable, and secure
• Architect ML solutions using AWS services and GenAI where applicable
• Collaborate with Applied Science, DevOps, Data Eng, Cloud Infra, Applications
• Serve as trusted advisor on AI/ML and cloud architectures
• Share knowledge and reusable artifacts through mentoring and training
• Ensure solutions meet industry standards and manage project risks

Skills

ML/GenAI

AWS SageMaker

MLOps

Cloud Architecture

GenAI Solutions

Tools

SageMaker

Bedrock

EC2

ECS

EKS

OpenSearch

LangChain

LangGraph

LlamaIndex

Job description

Amazon Web Services (AWS) Professional Services seeks a skilled ML Engineer to design, implement, and manage AI/ML and GenAI solutions for enterprise customers. You will lead end-to-end ML projects, collaborating with cross-functional teams to drive success in cloud adoption and best practices across the project lifecycle.

You will work with stakeholders to gather requirements, architect scalable AI/ML systems on AWS, and mentor others while traveling to customer sites as needed.