GenAI & AI/ML Solutions Engineer for Enterprise Impact

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

Benefits offered by this job

Health insurance

RSUs

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. is seeking a Machine Learning Engineer for the ProServe team to design, evangelize, implement, and scale AI/ML solutions for customers.

You will work with stakeholders to scope use cases, train models, and define strategies enabling AI transformation while adhering to best practices for security and performance. You will guide customers through generative AI solutions, run experiments, and share reusable artifacts, helping ensure success across multiple engagements

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.
• Current, active US Government Security Clearance of TS/SCI.
• Experience in defining and creating benchmarks for assessing GenAI model performance.

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

Machine learning

Software lifecycle

TS/SCI clearance

GenAI benchmarks

Tools

AWS services

Job description

Amazon Web Services, Inc. is seeking a Machine Learning Engineer for the ProServe team to design, evangelize, implement, and scale AI/ML solutions for customers.

You will work with stakeholders to scope use cases, train models, and define strategies enabling AI transformation while adhering to best practices for security and performance. You will guide customers through generative AI solutions, run experiments, and share reusable artifacts, helping ensure success across multiple engagements