Delivery Consultant - AI​/ML, AWS Professional Services

Description
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?

We are seeking a skilled ML Engineer to join our Amazon Web Services Professional Services team as a Delivery Consultant. In this role, you will work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You will be a key player in driving customer success throughout the ML project lifecycle.

• Implement end‑to‑end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
• Design and implement machine learning pipelines that support high‑performance, reliable, scalable, and secure ML workloads.
• Design scalable ML solutions and operations (MLOps) using AWS services and leverage GenAI solutions when applicable.
• Collaborate with cross‑functional teams – Applied Science, Dev Ops, Data Engineering, Cloud Infrastructure, Applications – to prepare, analyze, and operationalize data and AI/ML models.
• Serve as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures.
• Share knowledge and best practices within the organization through mentoring, training, publication, and the creation of reusable artifacts.
• Ensure solutions meet industry standards and support customers in advancing their AI/ML, GenAI, and cloud adoption strategies.

• 3+ years of cloud architecture and solution implementation experience.
• Knowledge of 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. Our inclusive culture empowers Amazonians to deliver the best results for customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit (Use the "Apply for this Job" box below). for more information.

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

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