GenAI ML Solutions Architect

Amazon Web Services (AWS); Bellevue (WA); On-site; USD 131,000 - 178,000; Full time

Job summary

Amazon Web Services, Inc. seeks a Machine Learning Engineer in our AWS Professional Services team to design, implement and scale AI/ML solutions for customers. You will apply Generative AI to real-world problems, drive customer success, and tailor models to meet business goals.

The role involves training and fine-tuning models, running experiments, and sharing reusable AI artifacts while mentoring colleagues. A strong background in cloud architecture and ML, plus US citizenship, is required.

Qualifications

• 2+ years cloud architecture and solution implementation experience.
• 3+ years machine learning/modeling data analysis experience.
• SDLC experience with coding standards, reviews, CI/CD and operations.
• Experience in benchmarking GenAI model performance.
• Proven ability to work on multi-team, cross-disciplinary projects.

Responsibilities

• Design, implement, and scale AI/ML solutions on AWS for customer use cases.
• Develop and deploy ML models and GenAI apps; run experiments for optimization.
• Collaborate with stakeholders to identify high-value AI/ML use cases and requirements.
• Provide guidance on applying AI responsibly and cost-efficiently during delivery.
• Advise customers on latest AI/ML advances and data-source strategies.
• Mentor teammates and create reusable AI/ML artifacts.

Skills

Cloud architecture

ML model development

GenAI concepts

Experimentation & benchmarking

Cross-team collaboration

Education

Master's degree in STEM

Tools

AWS services

Serverless tech

Job description

Amazon Web Services, Inc. seeks a Machine Learning Engineer in our AWS Professional Services team to design, implement and scale AI/ML solutions for customers. You will apply Generative AI to real-world problems, drive customer success, and tailor models to meet business goals.

The role involves training and fine-tuning models, running experiments, and sharing reusable AI artifacts while mentoring colleagues. A strong background in cloud architecture and ML, plus US citizenship, is required.