AI/ML Delivery Lead for Generative Cloud Solutions

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Disability accommodations

Job summary

Amazon Web Services, Inc. is seeking a skilled Machine Learning Engineer to join the Professional Services team. You will design, evangelize, implement, and scale AI/ML and generative AI solutions for diverse customer use cases, guiding data infrastructure, model selection, and experiments to optimize value and risk.

You will collaborate with stakeholders, train for scalability, and deliver field-tested approaches that drive customer success during their AI transformation journey.

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 / GenAI

Software lifecycle

GenAI benchmarking

Quantitative analysis

Education

Master's degree or STEM

Tools

AWS services

Serverless technologies

Job description

Amazon Web Services, Inc. is seeking a skilled Machine Learning Engineer to join the Professional Services team. You will design, evangelize, implement, and scale AI/ML and generative AI solutions for diverse customer use cases, guiding data infrastructure, model selection, and experiments to optimize value and risk.

You will collaborate with stakeholders, train for scalability, and deliver field-tested approaches that drive customer success during their AI transformation journey.