Drimva

Amazon

Senior Delivery Consultant - AI/ML, AWS Professional Services

$154K–$229K

Jersey City, NJ +6 · Senior · Full-time · Posted Sep 3, 2026

Location
Jersey City, NJ
Austin, TX
Arlington, VA
New York, NY
Atlanta, GA
Chicago, IL
Dallas, TX
Experience
8+ years building machine learning models or developing algorithms for business applications; 5+ years leading technical teams and hands-on experience focused on data, software, or ML engineering.
Education
Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field.

About the job

Leads customer-facing teams to design, build, deploy, and operate AWS machine learning and generative AI solutions that support business goals.

What you'll do

  • Lead end-to-end AI/ML and GenAI projects, including data preparation, model development, deployment, and monitoring.
  • Design scalable, reliable, and secure ML pipelines and MLOps solutions using AWS services.
  • Advise customers on AI/ML solutions and cloud architectures, and collaborate with cross-functional teams.

What they ask for

  • Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or another related field.
  • 8+ years of experience building machine learning models or developing algorithms for business applications.
  • 5+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with understanding of distributed computing.

Nice to have

  • Experience with automation, Infrastructure as Code, containers, and CI/CD pipelines.
  • Experience with MLOps tools and orchestration, or applications using GenAI technologies.

Pay

153,600.00 - 207,800.00 USD annually (base salary); 169,000.00 - 228,600.00 USD annually (base salary)

Tools

AWS, Terraform, Python, CloudFormation, CDK, MLFlow, Kubeflow, Airflow

AI focus

Hands-on development and delivery of AI/ML and GenAI solutions, including models, pipelines, MLOps, deployment, monitoring, and customer adoption.

Model-written summary · the original posting is authoritative

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