Delivery Consultant - AI/ML, AWS Professional Services

About the role

As a Delivery Consultant in the Amazon Web Services Professional Services (ProServe) team, you will work closely with customers to design, implement, and manage AWS AI/ML and Generative AI (GenAI) solutions that meet their technical requirements and business objectives. You will drive customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. Leading customer-focused project teams, you will perform hands-on development of ML solutions with exceptional quality, architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to each customer's needs.

This role involves collaborating with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. You will serve as a trusted advisor, guiding customers on industry trends, emerging technologies, and innovative solutions while leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks.

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

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.

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 collaborate 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, covering a variety of solutions, technologies, and industries.

Why AWS

• Diverse Experiences: Amazon values diverse experiences. We encourage candidates to apply even if their career path hasn’t followed a traditional route.
• Work/Life Balance: We strive for flexibility as part of our working culture to support work-life harmony.
• Inclusive Team Culture: Our employee-led and company-sponsored affinity groups promote inclusion, and our inclusion events foster stronger, more collaborative teams. Innovation is fueled by bold ideas and fresh perspectives.
• Mentorship and Career Growth: We offer knowledge-sharing, mentorship, and career-advancing resources to help you develop into a better-rounded professional.

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, restricted stock units (RSUs), and comprehensive benefits such as health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans), 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/en/benefits.