AI/ML Delivery Architect for Manufacturing Cloud

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

Benefits offered by this job

Health insurance

Restricted stock units (RSUs)

401(k) matching

Job summary

Amazon Web Services, Inc. is seeking a Delivery Consultant to join ProServe AWSI Delivery for AutoMfg in the Chicago area. The role focuses on designing, implementing, and managing GenAI and ML solutions on AWS to meet customer objectives.

You will lead architecture, migration planning, and best-practice implementation across enterprise environments, collaborating with stakeholders to ensure successful delivery and risk management throughout engagements.

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

• 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

Cloud architecture

Solution implementation

AWS services knowledge

Security and compliance

Education

AWS Professional level certification

Degree in advanced technology

Tools

EC2

ELB

RDS

Route53

S3

Job description

Amazon Web Services, Inc. is seeking a Delivery Consultant to join ProServe AWSI Delivery for AutoMfg in the Chicago area. The role focuses on designing, implementing, and managing GenAI and ML solutions on AWS to meet customer objectives.

You will lead architecture, migration planning, and best-practice implementation across enterprise environments, collaborating with stakeholders to ensure successful delivery and risk management throughout engagements.