Delivery Consultant - AI/ML, AWS Professional Services
Listed on 2026-05-21
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Cloud Computing, Data Scientist
Overview
Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use?
Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world’s AI technology?
The Amazon Web Services Professional Services (Pro Serve) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you’ll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You’ll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle.
Key Job ResponsibilitiesThis is a customer-facing role with potential travel to customer sites as needed.
Basic Qualifications- 3+ years of cloud architecture and solution implementation experience
- Knowledge of the primary AWS services (EC2, ELB, RDS, Route
53 & S3) - Experience presenting technical solutions to diverse audiences in pre‑sales environments
- 5+ years of IT implementation experience
- Degree in advanced technology, or AWS Professional level certification
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards including HIPAA and GDPR
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands‑on technology infrastructure, network, compute, storage, and virtualization experience
- Experience communicating technical concepts to diverse audiences in pre‑sales environments
- Experience in performance optimization and cost management for cloud environments
- USA, GA, Atlanta - - USD annually
- USA, IL, Chicago - - USD annually
- USA, NJ, Jersey City - - USD annually
- USA, NY, New York - - USD annually
- USA, TX, Austin - - USD annually
- USA, TX, Dallas - - USD annually
- USA, TX, Houston - - USD annually
- USA, VA, Arlington - - USD annually
- USA, VA, Herndon - - USD annually
- USA, WA, Seattle - - USD annually
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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