Amazon
Delivery Consultant - AI/ML, Professional Services - AWS Industries
$131K–$204K
Jersey City, NJ +8 · Full-time · Posted Aug 27, 2026
- Location
- Jersey City, NJ
Austin, TX
Seattle, WA
Atlanta, GA
New York, NY
Mountain View, CA
San Francisco, CA
San Diego, CA
Dallas, TX - Experience
- 3+ years of cloud architecture and solution implementation; 2+ years hosting and deploying GenAI/ML solutions.
- Education
- Bachelor's degree or equivalent in Computer Science.
About the job
Designs and delivers customer-specific GenAI and machine learning solutions on AWS, providing technical guidance through implementation and deployment.
What you'll do
- Design, implement, and build scalable, secure GenAI and ML applications and models on AWS.
- Guide customers through project delivery, requirements gathering, and model training, building, and deployment strategies.
- Mentor colleagues and share knowledge through training and reusable artifacts.
What they ask for
- Software development experience in one or more programming languages.
- 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, including training, fine-tuning, and inference.
Nice to have
- Experience with scripting for automation, AWS services, deep learning, machine learning, computer vision, graph neural networks, or distributed training.
- Master's degree or equivalent in computer science, computer engineering, or a related field, or PhD; AWS Professional-level certifications are also preferred.
Pay
USD 151,000.00 - 204,300.00 annually base salary (Mountain View, San Francisco); USD 131,300.00 - 177,600.00 annually base salary (San Diego, Atlanta, Austin, Dallas, Seattle); USD 144,500.00 - 195,400.00 annually base salary (Jersey City, New York)
Tools
AWS, Java, Python, Perl, Ruby, S3, Redshift, Sagemaker
AI focus
Build and deploy GenAI and ML applications and models on AWS, including model training, fine-tuning, and inference.
Model-written summary · the original posting is authoritative