Senior AI/ML Solutions Architect - Generative AI

Amazon; San Francisco (CA); On-site; USD 177,000 - 239,000; Full time

Job summary

Amazon Web Services (AWS) ProServe is seeking a Machine Learning Engineer to design, implement, and scale AI/ML solutions for customers in the cloud.

You will work with stakeholders to define use cases, train and fine-tune models, and drive customer success through AI transformation, applying Generative AI responsibly and at scale in real-world environments.

Strong communication across technical and non-technical audiences and mentoring teammates are also part of the role.

Qualifications

• 3+ years of cloud architecture and solution implementation experience
• 5+ years of ML, statistics, data mining, and analytics experience
• Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, architectures, code reviews, source control, CI/CD, testing, and operational excellence
• Experience in defining and creating benchmarks for assessing GenAI model performance
• Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences

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 & GenAI expertise

Software engineering

GenAI model evaluation

Stakeholder communication

Tools

AWS services

Job description

Amazon Web Services (AWS) ProServe is seeking a Machine Learning Engineer to design, implement, and scale AI/ML solutions for customers in the cloud.

You will work with stakeholders to define use cases, train and fine-tune models, and drive customer success through AI transformation, applying Generative AI responsibly and at scale in real-world environments.

Strong communication across technical and non-technical audiences and mentoring teammates are also part of the role.