Amazon
Sr. Delivery Consultant - AI/ML, WWPS ProServe
$154K–$239K
Jersey City, NJ +7 · Senior · Full-time · Posted Sep 17, 2026
- Location
- Jersey City, NJ
Austin, TX
Seattle, WA
Arlington, VA
New York, NY
Herndon, VA
San Francisco, CA
Dallas, TX - Experience
- 3+ years in cloud architecture and solution implementation; 5+ years in machine learning, statistical modeling, data mining, and analytics techniques.
About the job
Designs and delivers customer-focused AI/ML and generative AI solutions on AWS, guiding projects from use-case discovery and model selection through implementation and scaling.
What you'll do
- Design, implement, and optimize scalable, secure AI/ML solutions and generative AI applications for customers.
- Work with stakeholders to identify valuable use cases, assess requirements, and advise on responsible, cost-efficient implementation.
- Provide technical guidance and troubleshooting, and share expertise through mentoring, training, and reusable artifacts.
What they ask for
- 3+ years of cloud architecture and solution implementation experience.
- 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience.
- Experience across the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence.
- Experience creating benchmarks to assess GenAI model performance and translating technical solutions and data-driven insights for technical and non-technical audiences.
Nice to have
- Knowledge of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies.
- Experience in cloud performance optimization and cost management, pre-sales communication, or customer-facing complex project management.
Pay
176,600.00 - 239,000.00 USD annually (base salary); 169,000.00 - 228,600.00 USD annually (base salary); 153,600.00 - 207,800.00 USD annually (base salary)
Tools
AWS, GenAI
AI focus
Develops and deploys machine learning models and generative AI applications; selects and fine-tunes models, benchmarks GenAI performance, and advises customers on responsible, cost-efficient AI implementation.
Model-written summary · the original posting is authoritative