AI/ML Delivery Architect for GenAI Solutions

Amazon Inc.; Memphis (TN); Híbrido; USD 150.000 - 240.000; Jornada completa

Descripción de la vacante

Amazon Inc. is seeking a Sr. Delivery Consultant - AI/ML for AWS ProServe to design, evangelize, implement, and scale AI/ML solutions for customers. You will train and fine-tune models, scope use cases, and guide implementations across projects with focus on business impact and customer success.

The role emphasizes collaboration with stakeholders, development of proofs of concept, and mentoring teammates while advancing AI capabilities at scale.

Formación

• 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 into actionable recommendations for diverse audiences.

Responsabilidades

• Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs.
• Developing and deploying machine learning models and generative AI applications for real-world business problems.
• Collaborating with customer stakeholders to identify high-value AI/ML use cases and requirements.
• Providing technical guidance on applying AI responsibly and cost-efficiently throughout project delivery.
• Acting as a trusted advisor on AI advancements and leveraging diverse data sources for impact.
• Sharing knowledge within the organization through mentoring and prototyping new technologies.

Conocimientos

cloud architecture

machine learning

software engineering

GenAI benchmarks

communication to diverse audiences

Descripción del empleo

Amazon Inc. is seeking a Sr. Delivery Consultant - AI/ML for AWS ProServe to design, evangelize, implement, and scale AI/ML solutions for customers. You will train and fine-tune models, scope use cases, and guide implementations across projects with focus on business impact and customer success.

The role emphasizes collaboration with stakeholders, development of proofs of concept, and mentoring teammates while advancing AI capabilities at scale.