Drimva

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

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)