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 architect 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 a trusted advisor, 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.

Responsibilities

• Lead project teams and 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, DevOps, 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 creating reusable artifacts.
• Ensure solutions meet industry standards and support 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.

Requirements

Basic Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• Knowledge of primary AWS services (EC2, ELB, RDS, Route53, and 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 in cloud computing technologies (design and implementation).
• Experience leading the design, development, and deployment of business software at scale or recent hands-on experience with technology infrastructure, network, compute, storage, and virtualization.
• Experience in performance optimization and cost management for cloud environments.
• Experience presenting technical solutions to diverse audiences in pre-sales environments.

About the team

The AWS Professional Services organization is a global team of experts that helps 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 that 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.

Why AWS

• Diverse Experiences: Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed, we encourage candidates to apply.
• 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.
• 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.

Pay

The base salary range for this position varies by location:

• USA, CA, Mountain View: $151,000 - $204,300 USD annually
• USA, CA, San Francisco: $151,000 - $204,300 USD annually
• USA, GA, Atlanta: $131,300 - $177,600 USD annually
• USA, IL, Chicago: $131,300 - $177,600 USD annually
• USA, NJ, Jersey City: $144,500 - $195,400 USD annually
• USA, NY, New York: $144,500 - $195,400 USD annually
• USA, TX, Austin: $131,300 - $177,600 USD annually
• USA, TX, Dallas: $131,300 - $177,600 USD annually
• USA, VA, Herndon: $131,300 - $177,600 USD annually
• USA, WA, Seattle: $131,300 - $177,600 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.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans).
• Employee Assistance Program (EAP), Mental Health Support, Medical Advice Line.
• 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 Benefits.