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

Description

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 will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You will 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, you will be proficient in architecting complex, scalable, and secure solutions tailored to each customer’s needs. You will collaborate with stakeholders, gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.

• 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) experience
• 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 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

Base salary range for this position is listed by location:

• USA, CA, San Francisco –  –  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

Your Amazon package will include sign‑on payments, restricted stock units (RSUs), and other factors based on experience, qualifications, and location. Comprehensive benefits include health insurance (medical, dental, vision, prescription, basic life & AD&DD insurance), 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 at (Use the "Apply for this Job" box below)..

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