Sr. Delivery Consultant - AI/ML, AWS Professional Services
Listed on 2026-07-11
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IT/Tech
AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Machine Learning/ ML Engineer, Data Engineering
Description
Final date to receive applications:
Jun 12, 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, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key Job Responsibilities- 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 data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of customer‑facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience
- 4+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- 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.
SalaryUSA, 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
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