GenAI AI/ML Delivery Architect on AWS

Amazon; Jersey City (NJ); On-site; USD 145,000 - 195,000; Full time

Benefits offered by this job

Health insurance

401(k)

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) Professional Services seeks an experienced ML Engineer to design, implement, and manage GenAI and AI/ML solutions for enterprise customers. You will lead delivery teams, perform hands‑on ML development, and ensure architectures are scalable, secure, and integrated with AWS.

This customer-facing role requires strong cloud background, project leadership, and the ability to translate business needs into technical outcomes while mentoring others and sharing best practices.

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• Knowledge of AWS services (EC2, ELB, RDS, Route53 & S3).
• Experience implementing AWS services in distributed computing environments.

Responsibilities

• Lead project teams and implement end‑to‑end AI/ML and GenAI projects from business needs to deployment and monitoring.
• Design and implement ML pipelines for high‑performance, scalable workloads.
• Design scalable ML solutions and MLOps using AWS services and GenAI where applicable.
• Collaborate with cross‑functional teams to prepare, analyze, and operationalize data and models.
• Serve as a trusted advisor on AI/ML and cloud architectures for customers.
• Share knowledge and best practices through mentoring and training.
• Ensure solutions meet industry standards and support AI/GenAI and cloud adoption strategies.

Skills

Cloud architecture

AWS services knowledge

Project leadership

Customer-facing

Education

Bachelor's degree in a technical field

AWS certification

Job description

Amazon Web Services (AWS) Professional Services seeks an experienced ML Engineer to design, implement, and manage GenAI and AI/ML solutions for enterprise customers. You will lead delivery teams, perform hands‑on ML development, and ensure architectures are scalable, secure, and integrated with AWS.

This customer-facing role requires strong cloud background, project leadership, and the ability to translate business needs into technical outcomes while mentoring others and sharing best practices.