Delivery Consultant - AI/ML, AWS Professional Services

About the role

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)? The Amazon Web Services Professional Services (ProServe) 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.

You will lead customer-focused project teams as a technical leader, and perform hands-on development of ML solutions with exceptional quality. Possessing a deep understanding of AWS products and services, you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors, you will provide guidance on industry trends, emerging technologies, and innovative solutions, leading the implementation process while ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

This is a customer-facing role with potential travel to customer sites as needed.

About the team

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Responsibilities

• Leading project teams and implementing 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, DevOps, 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.

Requirements

Basic Qualifications

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

Preferred Qualifications

• 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 in performance optimization and cost management for cloud environments.
• Experience presenting technical solutions to diverse audiences in pre-sales environments.

Benefits

Amazon offers comprehensive benefits including:

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans).
• Employee Assistance Program (EAP) and Mental Health Support.
• Medical Advice Line and Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.

Learn more about our benefits at amazon.jobs/en/benefits.

Pay

The base salary range for this position varies by location:

• USA, CA, Mountain View: $151,000.00 - $204,300.00 USD annually
• USA, CA, San Francisco: $151,000.00 - $204,300.00 USD annually
• USA, GA, Atlanta: $131,300.00 - $177,600.00 USD annually
• USA, IL, Chicago: $131,300.00 - $177,600.00 USD annually
• USA, NJ, Jersey City: $144,500.00 - $195,400.00 USD annually
• USA, NY, New York: $144,500.00 - $195,400.00 USD annually
• USA, TX, Austin: $131,300.00 - $177,600.00 USD annually
• USA, TX, Dallas: $131,300.00 - $177,600.00 USD annually
• USA, VA, Herndon: $131,300.00 - $177,600.00 USD annually
• USA, WA, Seattle: $131,300.00 - $177,600.00 USD annually

Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

Why AWS

• Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.
• Inclusive Team Culture: AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams.
• Mentorship and Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. You’ll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.