Sr. Delivery Consultant - AI/ML, AWS Professional Services
About the role
The Amazon Web Services Professional Services (ProServe) 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.
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
Requirements
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)
Qualifications
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
Benefits
Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Pay
Base salary range for this position is listed below. Final compensation will be determined based on factors including experience, qualifications, and location.
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually
USA, CO, Denver - 153,600.00 - 207,800.00 USD annually
USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually
USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually
USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually
USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually