Amazon
Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries
$154K–$239K
Seattle, WA +2 · Full-time · Posted Jun 11, 2026
- Location
- Seattle, WA
San Francisco, CA
Dallas, TX - Experience
- The posting lists several requirements: 7+ years in technical specialist, design, and architecture; 5+ years in databases; 7+ years in consulting, design, and implementation of serverless distributed solutions; 5+ years in object-oriented software development; 3+ years and, separately, 8+ years in cloud-based solution, system, network, and operating system experience; 7+ years in customer-facing complex project management; 5+ years in cloud architecture and solution implementation; 5+ years hosting and deploying GenAI/ML solutions or/and Data Science Experience; and 8+ years coding, data querying, and scripting.
- Education
- Bachelor's degree, or 7+ years of professional or military experience.
About the job
Designs and delivers customer-specific GenAI and machine learning solutions on AWS, providing technical guidance across project delivery.
What you'll do
- Design, implement, and build scalable, secure GenAI and ML applications and models on AWS.
- Guide customers on AWS AI/ML implementation and collaborate on requirements, model training, building, and deployment strategies.
- Mentor colleagues and share knowledge through training and reusable artifacts.
What they ask for
- 7+ years of technical specialist, design, and architecture experience.
- 7+ years of consulting, design, and implementation of serverless distributed solutions experience.
- 5+ years of experience hosting and deploying GenAI/ML solutions or/and Data Science Experience.
- Bachelor's degree, or 7+ years of professional or military experience.
Nice to have
- Knowledge of AWS services, including machine learning and serverless technologies.
- Hands-on experience with deep learning, machine learning, CV, GNN, or distributed training.
Pay
176,600.00 - 239,000.00 USD annually (base salary); 153,600.00 - 207,800.00 USD annually (base salary)
Tools
AWS, SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis, Python
AI focus
Build and deploy GenAI/ML applications and models on AWS, including data preprocessing, training, deep learning, fine-tuning, and inference.
Model-written summary · the original posting is authoritative