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 in business administration, finance, economics, computer science, data science, engineering, or another related field.

About the job

Designs and delivers customer-specific GenAI and machine learning solutions on AWS, providing technical guidance across implementation and deployment.

What you'll do

  • Design, build, and implement scalable, secure GenAI and ML applications and models on AWS.
  • Guide customers on AI/ML implementation, model training, fine-tuning, and deployment strategies.
  • Advise customers on emerging technologies and share expertise through mentoring, 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.
  • 2+ years of experience hosting and deploying GenAI/ML solutions.
  • Bachelor's degree in a related field.

Nice to have

  • Knowledge of security and compliance standards, including HIPAA and GDPR; experience with AWS services such as S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2.
  • Hands-on experience with deep learning, machine learning, CV, GNN, or distributed training; AWS Professional level certifications.

Pay

USD 151,000.00 - 204,300.00 annually (base salary); USD 131,300.00 - 177,600.00 annually (base salary); USD 144,500.00 - 195,400.00 annually (base salary)

Tools

AWS, S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2

AI focus

Build and deploy GenAI/ML applications and models; advise on model training, fine-tuning, and inference strategies.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)