AI/ML Delivery Architect - Generative AI

Amazon; Herndon (VA); On-site; USD 131,000 - 178,000; Full time

Benefits offered by this job

Health benefits

Job summary

Amazon Web Services Professional Services seeks a Machine Learning Engineer to design, evangelize, implement, and scale AI/ML solutions for customers. You will work with stakeholders to scope use cases, train and fine-tune models, and guide projects from concept to deployment.

The role emphasizes GenAI, scalable architectures, and collaboration across cross-functional teams, with a focus on delivering measurable business impact in a security-conscious environment.

Qualifications

• 3+ years of ML/statistical modeling and data analysis experience.
• 2+ years of cloud architecture and solution implementation experience.
• Experience in full software development lifecycle and best practices.
• Experience defining benchmarks for GenAI model performance.
• Experience applying quantitative analysis across multi-team projects.

Responsibilities

• Design and implement scalable AI/ML solutions on AWS.
• Develop and deploy ML models and GenAI apps at scale.
• Identify high-value AI use cases with stakeholders.
• Provide guidance on responsible and cost-efficient AI.
• Act as trusted advisor on AI advancements and technologies.
• Share knowledge and prototype new AI/ML artifacts.

Skills

ML & Data Analysis

Cloud Architecture

Software Engineering

GenAI Benchmarks

Quantitative Analysis

Education

Master's degree in STEM

Job description

Amazon Web Services Professional Services seeks a Machine Learning Engineer to design, evangelize, implement, and scale AI/ML solutions for customers. You will work with stakeholders to scope use cases, train and fine-tune models, and guide projects from concept to deployment.

The role emphasizes GenAI, scalable architectures, and collaboration across cross-functional teams, with a focus on delivering measurable business impact in a security-conscious environment.