GenAI & ML Solutions Architect - Cloud

Amazon Web Services (AWS); Herndon (VA); On-site; USD 131,300 - 177,600; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon Web Services (AWS) Professional Services seeks a Machine Learning Engineer to design, evangelize, implement, and scale AI/ML solutions for customers. You will guide GenAI use cases, architect secure, scalable models, and work with stakeholders to deliver impactful AI transformations.

The role emphasizes hands-on model training, concept validation, and collaboration with cross-functional teams to ensure successful delivery and customer outcomes in a dynamic cloud environment.

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.
• Current, active US Government Security Clearance of TS/SCI

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 modeling

Software engineering

AWS services

Tools

AWS cloud stack

Job description

Amazon Web Services (AWS) Professional Services seeks a Machine Learning Engineer to design, evangelize, implement, and scale AI/ML solutions for customers. You will guide GenAI use cases, architect secure, scalable models, and work with stakeholders to deliver impactful AI transformations.

The role emphasizes hands-on model training, concept validation, and collaboration with cross-functional teams to ensure successful delivery and customer outcomes in a dynamic cloud environment.