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

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

Job  | Amazon Web Services, Inc. | Final date to receive applications:
Jan 16, 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.

• 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, focusing 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.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings that help customers achieve specific outcomes related to enterprise cloud adoption.

We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

• Experience developing software code in one or more programming languages (Java, Python, etc.).
• PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience).
• 5+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience.
• 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inference) and/or Data Science Experience.
• 5+ years of coding, data querying languages (e.g., SQL), scripting languages (e.g., Python).

• Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g., Sage Maker, Bedrock, EMR, S3, Open Search Service, Step Functions, Lambda, and EC2).
• AWS Professional level certifications (e.g., Solutions Architect Professional, Dev Ops Engineer Professional, Machine Learning Specialty) preferred.
• Hands‑on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training.
• Experience with 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.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service;…