Delivery Consultant - AI/ML, AWS Professional Services Healthcare Life Science
Listed on 2026-05-20
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Cloud Computing, Data Scientist
Job 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 ResponsibilitiesImplementing end‑to‑end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring
Designing and implementing machine learning pipelines that support high‑performance, reliable, scalable, and secure ML workloads
Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable
Collaborating with cross‑functional teams (Applied Science, Dev Ops, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models
Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts
Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies
This 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
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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