Amazon
Professional Services II - AMZ27134.3
New York, NY · Full-time · Posted Sep 16, 2026
- Experience
- At least 1 year in the job offered or a related occupation, including at least 1 year in each of the four specified areas.
- Education
- Master’s degree or foreign equivalent in Computer Science, Engineering (any field), Applied Analytics, or a related field.
About the job
Implements and deploys AI/ML and generative AI solutions for customers, including production pipelines, monitoring, and cloud-native architecture guidance.
What you'll do
- Build and manage scalable machine-learning pipelines and apply MLOps practices for deployment and governance.
- Design generative AI applications, including RAG, text-to-SQL, and domain-specific fine-tuning.
- Advise customers on AI/ML use cases and architectures; collaborate with engineering teams and share knowledge through training, technical artifacts, and mentoring.
What they ask for
- At least 1 year of experience in the job offered or a related occupation.
- At least 1 year in each of: data analysis and processing using Python and SQL; machine learning and statistical modeling; software engineering practices including version control, testing, and CI/CD; generative AI system design.
Pay
USD $144500 - $195400 (yr) base salary
Tools
Python, SQL, SageMaker, Step Functions, Lambda, CloudWatch, Docker/ECR, Llama
AI focus
End-to-end AI/ML and GenAI delivery, including model development and deployment, MLOps, RAG, text-to-SQL, and fine-tuning.
Model-written summary · the original posting is authoritative