Sr. Delivery Consultant - AI/ML, AWS Professional Services

Application Deadline

May 12, 2026

Introduction

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to design, implement, and manage AWS solutions that meet customers’ technical requirements and business objectives. The consultant will drive customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Key Job Responsibilities

• Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models on AWS tailored to customer needs.
• Providing technical guidance and implementation support throughout project delivery, focusing on AWS AI/ML services.
• Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies.
• Acting as a trusted advisor to customers on industry trends and emerging technologies.
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.

Basic Qualifications

• 5+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience.
• 3+ years of customer‑facing work, engaging with customer executives, technologists, or partners to solve business problems with advanced technologies.
• 4+ years of working with Data & AI related technologies, including AI/ML, GenAI, Analytics, Database, and/or Storage experience.
• 3+ years of coding, data querying languages, and scripting languages (e.g., Python).

Preferred Qualifications

• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
• Experience communicating technical concepts to diverse audiences in pre‑sales environments.
• Experience building and operating a cloud‑based architecture.
• Experience developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware.

Equal Opportunity Statement

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 our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Salary and Location

• USA, CO, Denver – $153,600 – $207,800 USD annually
• USA, GA, Atlanta – $153,600 – $207,800 USD annually
• USA, IL, Chicago – $153,600 – $207,800 USD annually
• USA, NJ, Jersey City – $169,000 – $228,600 USD annually
• USA, NY, New York – $169,000 – $228,600 USD annually
• USA, TX, Dallas – $153,600 – $207,800 USD annually
• USA, TX, Houston – $153,600 – $207,800 USD annually
• USA, VA, Herndon – $153,600 – $207,800 USD annually
• USA, WA, Bellevue – $153,600 – $207,800 USD annually
• USA, WA, Seattle – $153,600 – $207,800 USD annually