Professional Services III - AMZ26939.3

What you'll do

• Design, implement, and build customer-tailored GenAI and ML applications, models, and supporting infrastructure on AWS.
• Guide customers through requirements gathering, solution design, training, deployment, and implementation; advise on industry trends and emerging technologies.
• Mentor and train colleagues and create reusable artifacts.

What they ask for

• Master’s degree or foreign equivalent in Computer Science, Engineering, Business Administration, or a related discipline plus 5 years of relevant experience; alternatively, a bachelor’s degree or foreign equivalent in those fields plus 7 years of progressively responsible post-baccalaureate experience.
• 3 years in direct customer interaction involving ML solution design, architecture, and implementation; 5 years in software design and development using Python, Java, or C#/C++.
• 3 years with development lifecycle practices, including git, infrastructure as code, and CI/CD pipelines; 3 years with AWS, including SageMaker, Lambda, S3, EC2, IAM, and CloudFormation.
• 1 year designing, implementing, and operating ML training and inference compute infrastructure; 1 year designing and implementing solutions using Generative AI, large language models, and agentic frameworks.

Pay

$153600 - $207800 (yr) base pay

Tools

AWS, SageMaker, Lambda, S3, EC2, IAM, CloudFormation, Python

AI focus

Design, implement, and operate ML and Generative AI solutions, including large language models and agentic frameworks, plus infrastructure for model training and inference.