Delivery Consultant - AI/ML, WWPS ProServe
Listed on 2026-01-01
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IT/Tech
Cloud Computing, AI Engineer
Delivery Consultant - AI/ML, WWPS Pro Serve
Join the Amazon Web Services (AWS) Professional Services team as a Delivery Consultant to design, implement, and manage AWS solutions that meet customer needs.
The role focuses on delivering complex, scalable, and secure GenAI and ML applications using AWS services. You will work closely with stakeholders to gather requirements, assess existing infrastructure, and propose migration strategies. As a trusted advisor, you’ll guide customers on industry trends, emerging technologies, and best practices throughout the project lifecycle.
Key Responsibilities- Design, implement, and build complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs.
- Provide technical guidance and implementation support throughout project delivery, focusing on AWS AI/ML services.
- Collaborate with customer stakeholders to gather requirements and propose effective 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.
- Bachelor's degree in computer science, engineering, mathematics, or equivalent.
- 3+ years of experience in software development and cloud-based solutions (AWS or equivalent).
- Experience developing software with an object-oriented language.
- 3+ years of experience hosting and deploying GenAI/ML solutions (e.g. for training, fine-tuning, and inference).
- AWS Professional level certification.
- Proficiency in a wide range of AWS services such as EC2, S3, RDS, Lambda, IAM, VPC, Cloud Formation.
- Experience with automation and scripting (e.g. Terraform, Python).
- Strong communication skills; ability to explain technical concepts to both technical and non‑technical audiences.
We provide accommodations for applicants with disabilities during the application and hiring process. For more information, visit the Amazon accommodations page.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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