GenAI/ML Cloud Delivery Consultant

Amazon; Minneapolis (MN); On-site; USD 131,000 - 178,000; Full time

Job summary

Amazon AWS ProServe is seeking a Delivery Consultant to design, implement, and manage GenAI/ML solutions on AWS for customers in a professional services capacity. You will mentor teams, ensure best practices, and guide migrations and deployments while aligning with business objectives.

The role emphasizes deep AWS product knowledge, scalable architectures, and strong communication with executives and technical stakeholders alike.

Qualifications

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

Responsibilities

• Design, implement, and build 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

Cloud architecture

GenAI/ML deployment

Programming experience

Executive communication

Education

Bachelor's degree in computer science or equivalent

Tools

AWS services (S3, Redshift, EMR, RDS)

Python scripting

Job description

Amazon AWS ProServe is seeking a Delivery Consultant to design, implement, and manage GenAI/ML solutions on AWS for customers in a professional services capacity. You will mentor teams, ensure best practices, and guide migrations and deployments while aligning with business objectives.

The role emphasizes deep AWS product knowledge, scalable architectures, and strong communication with executives and technical stakeholders alike.