Amazon
Delivery Consultant - AI/ML, Professional Services - AWS Industries
$154K–$239K
Jersey City, NJ +7 · Full-time · Posted Jun 2, 2026
- Location
- Jersey City, NJ
Austin, TX
Atlanta, GA
New York, NY
Minneapolis, MN
Herndon, VA
Mountain View, CA
Dallas, TX - Experience
- Requirements also state 3+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience, and 8+ years of the same experience; 7+ years of external or internal customer-facing, complex, large-scale project management experience.
- 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, advising customers throughout implementation and deployment.
What you'll do
- Design, implement, and build scalable, secure GenAI and ML applications and models on AWS.
- Guide customers on requirements, model training, development, deployment strategies, and AWS AI/ML services.
- Mentor colleagues and create 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; and 5+ years of cloud architecture and solution implementation experience.
- 5+ years of database experience and 5+ years of software development with an object-oriented language.
- 5+ years hosting and deploying GenAI/ML solutions or/and Data Science Experience.
- 8+ years of coding, data querying languages, and scripting languages; bachelor's degree, or 7+ years of professional or military experience.
Nice to have
- Knowledge of AWS services and cloud security and compliance standards, including HIPAA and GDPR.
- Hands-on experience with deep learning, machine learning, CV, GNN, or distributed training; AWS Professional level certifications are preferred.
Pay
USD 176,600.00 - 239,000.00 annually (base salary); USD 153,600.00 - 207,800.00 annually (base salary); USD 169,000.00 - 228,600.00 annually (base salary)
Tools
AWS, SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis, Python
AI focus
Build and deploy GenAI and ML applications and models, including model training, deep learning, fine-tuning, and inference.
Model-written summary · the original posting is authoritative