Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries

Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries

Job ID: 3054303 | Amazon Web Services, Inc.

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 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, the Delivery Consultant will architect complex, scalable, and secure solutions tailored to each customer’s needs. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As a trusted advisor, you will guide customers on industry trends, emerging technologies, and innovative solutions; lead the implementation process; ensure adherence to best practices; optimize performance; and manage risks throughout the project.

Key Responsibilities

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

About the Team

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, powering businesses from startups to Global 500 companies. AWS fosters a culture of inclusion and continuous learning, supporting mentorship and career growth. We value work/life balance and strive for flexibility within our working culture.

Basic Qualifications

• 8+ years of cloud‑based solution experience (AWS or equivalent), system, network and operating system experience.
• 5+ years of experience hosting and deploying GenAI/ML solutions (data pre‑processing, training, deep learning, fine‑tuning, and inference) or data science experience.
• 8+ years of coding, data querying languages (e.g., SQL) and scripting languages (e.g., Python).

Preferred Qualifications

• PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience).
• Deep knowledge of the AWS platform and tools, with proficiency in services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2.
• AWS Professional‑level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred.
• Hands‑on experience with deep learning (CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training.
• Experience with data analytics, data engineering, coding, automation, and scripting (e.g., Terraform, Python).
• Strong communication skills with the ability to explain technical concepts to both technical and non‑technical audiences.

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; and following all federal, state, local laws and company policies. Criminal history may affect certain job duties related to safety and responsible conduct.

Our compensation reflects the cost of labor across several U.S. geographic markets. Base pay for this position ranges from $138,200/year in the lowest market to $239,000/year in the highest. Pay is based on market location and may vary with experience. Amazon offers a total compensation package that may include equity, sign‑on payments, and other benefits. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.