Sr. Delivery Consultant - AI​/ML, AWS Professional Services

Final date to receive applications:
May 18, 2026. The Amazon Web Services Professional Services (Pro Serve) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS 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 project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure 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 be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

• Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs.
• Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services.
• Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies.
• Acting as a trusted advisor to customers on industry trends and emerging technologies.
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.

• 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience.
• 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab).
• 3+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies.
• 4+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage.
• 3+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python).

• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
• Experience communicating technical concepts to diverse audiences in pre-sales environments.
• Experience building and operating a cloud-based architecture.
• Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware.

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

Los Angeles County applicants:
Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

• USA, CA, Mountain View –  –  USD annually
• USA, CO, Denver –  –  USD annually
• USA, GA, Atlanta –  –  USD annually
• USA, IL, Chicago –  –  USD annually
• USA, NJ, Jersey City –  –  USD annually
• USA, NY, New York –  –  USD annually
• USA, TX, Dallas –  –  USD annually
• USA, VA, Arlington –  –  USD annually
• USA, VA, Herndon –  –  USD annually
• USA, WA, Seattle –  –  USD annually

Company:
Amazon Web Services, Inc. Job : A