GenAI & ML Solutions Architect for Enterprise AI

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

Benefits offered by this job

Health insurance

RSU stock options

401(k) matching

Job summary

Amazon Web Services, Inc. is seeking a Machine Learning Engineer for ProServe to design and scale AI/ML solutions for diverse customer needs in a highly collaborative, customer-focused setting.

You will select, train, and fine-tune models, design experiments, and guide customers through AI transformation while leveraging AWS services and best practices. The role emphasizes secure, scalable architectures and cross-team collaboration.

Qualifications

• 2+ years of cloud architecture and solution implementation experience.
• 3+ years of machine learning/statistical modeling data analysis tools and techniques.
• Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence.
• Experience in defining and creating benchmarks for assessing GenAI model performance.
• Experience applying quantitative analysis to solve business problems and working on multi-team, cross-disciplinary projects.

Responsibilities

• Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases.
• Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale.
• Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
• Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
• Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
• Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility

Skills

Cloud architecture

ML experience

SDLC

GenAI benchmarks

Quantitative analysis

Education

Master's degree in STEM

Tools

AWS services

Job description

Amazon Web Services, Inc. is seeking a Machine Learning Engineer for ProServe to design and scale AI/ML solutions for diverse customer needs in a highly collaborative, customer-focused setting.

You will select, train, and fine-tune models, design experiments, and guide customers through AI transformation while leveraging AWS services and best practices. The role emphasizes secure, scalable architectures and cross-team collaboration.