Amazon
Senior Delivery Consultant - AI/ML, AWS Professional Services
$154K–$239K
Jersey City, NJ +8 · Senior · Full-time · Posted Jun 1, 2026
- Location
- Jersey City, NJ
Seattle, WA
Atlanta, GA
New York, NY
Herndon, VA
Chicago, IL
Mountain View, CA
San Francisco, CA
Dallas, TX - Experience
- 5+ years in cloud architecture and solution implementation; 5+ years in development/programming/scripting; 5+ years leading technical teams with hands-on data, software, or ML engineering; 5+ years developing predictive modeling, NLP, and deep learning.
- Education
- Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience; the posting also lists a bachelor’s degree in business administration, finance, economics, computer science, data science, engineering, or another related field.
About the job
Leads customer-facing teams to design, build, deploy, and operate AWS AI/ML and generative AI solutions across the machine-learning project lifecycle.
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; collaborate with cross-functional teams and share best practices.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience; a bachelor’s degree in business administration, finance, economics, computer science, data science, engineering, or another related field is also listed.
- 5+ years of cloud architecture and solution implementation experience.
- 5+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience.
- 5+ years leading technical teams and hands-on data, software, or ML engineering; 5+ years developing predictive modeling, NLP, and deep learning, including deploying cloud ML models.
Nice to have
- Experience with AWS; conveying complex technical concepts to technical and business audiences.
- Knowledge of ML frameworks and methods, security/compliance standards, automation and IaC, MLOps, orchestration, and GenAI application technologies.
Pay
176,600.00 - 239,000.00 USD annually (base salary); 153,600.00 - 207,800.00 USD annually (base salary); 169,000.00 - 228,600.00 USD annually (base salary)
Tools
AWS, Amazon SageMaker, Python, Java, Bash, Perl, PyTorch, TensorFlow
AI focus
Hands-on delivery of AI/ML and GenAI solutions, including predictive modeling, NLP, deep learning, model pipelines, MLOps, deployment, monitoring, and customer guidance.
Model-written summary · the original posting is authoritative