Sr. Delivery Consultant - AI​/ML, WWPS ProServe

This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.

The Amazon Web Services Professional Services (Pro Serve) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle.

As a Machine Learning Engineer within the AWS Professional Services organization, you will architect complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine‑tune the right models, and define paths to navigate technical or business challenges.

Working closely with stakeholders, you'll assess current data infrastructure, develop proof‑of‑concepts, and propose effective strategies for implementing AI and generative AI solutions  will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

• Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine‑tuning appropriate models for specific use cases.
• Developing and deploying machine learning models and generative AI applications that solve real‑world business problems, conducting experiments and optimizing for performance at scale.
• Collaborating with customer stakeholders to identify high‑value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions.
• Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost‑efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices.
• Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact.
• Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility.

• 3+ years of cloud architecture and solution implementation experience.
• 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience.
• Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence.
• Experience in defining and creating benchmarks for assessing GenAI model performance.
• Experience translating complex technical solutions and data‑driven insights into clear, actionable recommendations for diverse audiences, including both technical and non‑technical stakeholders.
• Current, active US Government Security Clearance of Top Secret or above.

• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
• Experience in performance optimization and cost management for cloud environments.
• Experience communicating technical concepts to diverse audiences in pre‑sales environments.
• Experience in external or internal customer facing, complex and large‑scale project management.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for 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  .

USA, VA, Arlington -  -  USD annually

USA, VA, Herndon -  -  USD annually