Delivery Consultant - AI/ML, AWS Professional Services - HCLS

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?

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.

About the role

As a Delivery Consultant, you will possess a deep understanding of AWS products and services and 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 to our customers, 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.

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 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.

Responsibilities

• Implement end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment, and monitoring.
• Design and implement Agentic AI and machine learning pipelines that support high-performance, reliable, scalable, and secure AI/ML workloads.
• Design scalable ML solutions and operations (MLOps) using AWS services and leverage GenAI solutions when applicable.
• Collaborate with cross-functional teams (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

• 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.
• 3+ years of software development or scripting language experience.
• 3+ years of building machine learning and generative AI models for business applications.
• 3+ years of customer-facing work, engaging with customer executives, technologists, or partners to solve business problems with advanced technologies.
• Experience with cloud services related to machine learning (e.g., Amazon SageMaker) and generative AI applications.

Qualifications

• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
• 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches; experience with open-source frameworks like LangChain, LangGraph, LlamaIndex, or similar tools.
• 3+ years of deep learning, computer vision, human-robot interaction, or algorithms implementation experience using PyTorch or TensorFlow.
• Experience building ML pipelines with MLOps best practices, including data preprocessing, distributed & GPU training, model deployment, monitoring, and retraining; experience with container and CI/CD pipelines.
• Domain expertise in healthcare and life sciences.

About the team

AWS values diverse experiences. Even if you do not meet all of the 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.

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.

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. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Pay

• 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, Dallas: $131,300.00 - $177,600.00 USD annually
• USA, TX, Houston: $131,300.00 - $177,600.00 USD annually
• USA, VA, Arlington: $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.

Benefits

• 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.
• 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.