Senior AI/ML Delivery Architect — GenAI & Cloud

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

Job summary

Amazon Web Services, Inc. in Arlington, VA is seeking a Machine Learning Engineer to design, implement, and scale AI/ML solutions for customer use cases. You will train and fine-tune GenAI models, collaborate with stakeholders, and ensure secure, scalable delivery of cloud-based AI applications.

The role requires deep expertise in ML, GenAI, and best practices across the project lifecycle, with a focus on practical business impact and customer success.

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 for diverse audiences.
• Current, active US Government Security Clearance of Top Secret or above

Responsibilities

• Design and implement complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs.
• Develop and deploy machine learning models and generative AI applications solving real-world business problems.
• Collaborate with customer stakeholders to identify high-value AI/ML use cases and requirements.
• Provide technical guidance on applying AI and ML responsibly and cost-efficiently.
• Act as a trusted advisor on latest AI/ML advancements and diverse data sources.
• Share knowledge through mentoring, training, and prototyping new technologies within the team

Skills

Cloud architecture

Machine learning

GenAI / AI models

Software engineering best practices

Stakeholder communication

Tools

AWS services

Model training platforms

Job description

Amazon Web Services, Inc. in Arlington, VA is seeking a Machine Learning Engineer to design, implement, and scale AI/ML solutions for customer use cases. You will train and fine-tune GenAI models, collaborate with stakeholders, and ensure secure, scalable delivery of cloud-based AI applications.

The role requires deep expertise in ML, GenAI, and best practices across the project lifecycle, with a focus on practical business impact and customer success.