Senior AI/ML Solutions Architect (GenAI & Cloud)

Amazon Web Services (AWS); Herndon (VA); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services, Inc. in the Herndon/Arlington area seeks a Machine Learning Engineer within AWS Professional Services to design, implement, and scale AI/ML solutions for customers, applying generative AI to solve real-world business problems with measurable impact.

You will work directly with customer stakeholders, assess data infrastructure, train and fine-tune models, run experiments, and define paths to deliver value at scale, while guiding teams on best practices and security.

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.
• Experience in defining and creating benchmarks for assessing GenAI model performance.
• Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations.

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

Generative AI

Stakeholder collaboration

Software development lifecycle

Tools

AWS services

Job description

Amazon Web Services, Inc. in the Herndon/Arlington area seeks a Machine Learning Engineer within AWS Professional Services to design, implement, and scale AI/ML solutions for customers, applying generative AI to solve real-world business problems with measurable impact.

You will work directly with customer stakeholders, assess data infrastructure, train and fine-tune models, run experiments, and define paths to deliver value at scale, while guiding teams on best practices and security.