GenAI/ML Delivery Consultant for ProServe

Amazon Inc.; Atlanta (GA); On-site; USD 131,000 - 178,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a Delivery Consultant to collaborate with customers to design, implement, and manage AI/ML solutions on AWS. You will lead technical delivery, architect scalable GenAI/ML applications, and guide migration strategies across projects.

You will work with stakeholders, provide best practices, mentor teams, and ensure security and performance goals are met while balancing risks and timelines in a dynamic outcomes-driven environment.

Qualifications

• Experience developing software code in one or more programming languages (Java, Python, etc.).
• 3+ years of cloud architecture and solution implementation experience.
• Bachelor's degree or equivalent in Computer Science.
• 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences).

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.

Skills

Programming (Java, Python)

Cloud architecture

GenAI/ML deployment

Communication

Education

Bachelor's degree in Computer Science

Tools

AWS

Job description

Amazon Web Services, Inc. is seeking a Delivery Consultant to collaborate with customers to design, implement, and manage AI/ML solutions on AWS. You will lead technical delivery, architect scalable GenAI/ML applications, and guide migration strategies across projects.

You will work with stakeholders, provide best practices, mentor teams, and ensure security and performance goals are met while balancing risks and timelines in a dynamic outcomes-driven environment.