GenAI/ML Delivery Consultant for Enterprise Cloud

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) ProServe is seeking a Delivery Consultant to design, implement, and manage GenAI and ML solutions for auto and manufacturing customers. You will architect scalable, secure AWS-based implementations, gather requirements, and mentor teams throughout the project lifecycle to ensure successful cloud adoption.

You will work with stakeholders, guide migration strategies, and stay current with industry trends and AWS services to optimize performance and manage risks in

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3).
• Experience implementing AWS services in distributed computing environments.

Responsibilities

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

Skills

Cloud architecture

AWS services

Distributed computing

Education

Bachelor's degree

Job description

Amazon Web Services (AWS) ProServe is seeking a Delivery Consultant to design, implement, and manage GenAI and ML solutions for auto and manufacturing customers. You will architect scalable, secure AWS-based implementations, gather requirements, and mentor teams throughout the project lifecycle to ensure successful cloud adoption.

You will work with stakeholders, guide migration strategies, and stay current with industry trends and AWS services to optimize performance and manage risks in