Senior AI/ML Solutions Architect - GenAI & Cloud

Amazon Web Services (AWS); San Francisco (CA); On-site; USD 176,000 - 239,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. seeks a Machine Learning Engineer for the Professional Services team to design, evangelize, implement, and scale AI/ML solutions aligned with customer goals. You will work directly with clients to scope use cases, train models, and optimize outcomes across diverse industries.

You will guide stakeholders through GenAI deployments, run experiments, and share best practices while advancing AWS’s AI transformation initiatives and ensuring value delivery at scale.

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience.
• 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 translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders.

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.

Job description

Amazon Web Services, Inc. seeks a Machine Learning Engineer for the Professional Services team to design, evangelize, implement, and scale AI/ML solutions aligned with customer goals. You will work directly with clients to scope use cases, train models, and optimize outcomes across diverse industries.

You will guide stakeholders through GenAI deployments, run experiments, and share best practices while advancing AWS’s AI transformation initiatives and ensuring value delivery at scale.