AI/ML Delivery Lead for GenAI Solutions

Amazon Inc.; Arlington (VA); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services, Inc. in Arlington, VA is seeking a Sr. Delivery Consultant - AI/ML for the WWPS ProServe team to design, evangelize, implement, and scale AI/ML solutions for customer success.

You will work directly with customers to identify use cases, train and fine-tune models, and guide projects throughout their lifecycle. The role emphasizes architecture, model training, experiments, and delivering secure, scalable outcomes for diverse clients within the AWS Professional Services

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• 5+ years of machine learning, data mining, and analytics techniques experience.
• Experience in professional software engineering and SDLC best practices.
• Experience in defining benchmarks for GenAI model performance.
• Ability to translate complex technical solutions and data-driven insights to diverse audiences.

Responsibilities

• Design, implement, and scale AI/ML solutions on AWS tailored to customer needs.
• Develop and deploy ML models and Generative AI applications for real-world problems.
• Collaborate with stakeholders to identify high-value AI/ML use cases and gather requirements.
• Provide guidance on applying AI responsibly and cost-efficiently throughout delivery.
• Act as trusted advisor on AI/ML advancements and data source utilization.
• Mentor team members and create reusable AI/ML artifacts.

Skills

Cloud architecture

ML experience

Software engineering

GenAI benchmarks

Stakeholder communication

AWS services

Job description

Amazon Web Services, Inc. in Arlington, VA is seeking a Sr. Delivery Consultant - AI/ML for the WWPS ProServe team to design, evangelize, implement, and scale AI/ML solutions for customer success.

You will work directly with customers to identify use cases, train and fine-tune models, and guide projects throughout their lifecycle. The role emphasizes architecture, model training, experiments, and delivering secure, scalable outcomes for diverse clients within the AWS Professional Services