Amazon
Sr. Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries
$154K–$239K
Austin, TX +5 · Senior · Full-time · Posted Jun 11, 2026
- Location
- Austin, TX
Seattle, WA
Atlanta, GA
Herndon, VA
Mountain View, CA
Dallas, TX - Experience
- Requirements include 3+ and 7+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience; the posting lists both thresholds. Other experience requirements are stated above.
- Education
- Bachelor's degree, or 7+ years of professional or military experience. Preferred: PhD or Masters of Science degree in Computer Science or a related field (or equivalent experience).
About the job
Designs and delivers customer-specific GenAI and machine-learning solutions on AWS, guiding customers through implementation and deployment.
What you'll do
- Design, build, and implement scalable, secure GenAI and ML applications and models on AWS.
- Advise customers and support project delivery, including requirements gathering and 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; consulting, design, and implementation of serverless distributed solutions; and customer-facing complex project management.
- 5+ years of database experience, software development with an object-oriented language, and cloud architecture and solution implementation.
- 5+ years hosting and deploying GenAI/ML solutions or/and Data Science experience; 8+ years coding, data querying, and scripting languages.
- Bachelor's degree, or 7+ years of professional or military experience.
Nice to have
- AWS Professional level certification or advanced technology degree; AWS services knowledge.
- 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, host, and deploy GenAI/ML applications and models, including data preprocessing, training, deep learning, fine-tuning, and inference; support model strategy and deployment on AWS AI/ML services.
Model-written summary · the original posting is authoritative