GenAI/ML Solutions Delivery Consultant

Amazon; San Francisco (CA); On-site; USD 177,000 - 239,000; Full time

Benefits offered by this job

RSUs

Sign-on payments

Health insurance

Job summary

Amazon AWS Professional Services is seeking a Delivery Consultant to design, implement, and manage AWS solutions for customers, driving success through cloud journeys. You will architect scalable, secure GenAI/ML applications, guide migrations, and lead implementation with a focus on best practices, risk management, and performance optimization.

You will collaborate with stakeholders, mentor teammates, and stay ahead of industry trends, delivering focused guidance and reusable artifacts across

Qualifications

• At least 7 years in technical specialist roles focused on design and architecture.
• Extensive database experience (SQL/NoSQL/Hadoop/Spark/Kafka/Kinesis).
• 7+ years of client-facing project management.
• 7+ years of experience hosting and deploying GenAI/ML solutions or data science experience.
• 8+ years coding with SQL and Python.

Responsibilities

• Designing, implementing, and building GenAI and ML apps on AWS tailored to customer needs.
• Providing technical guidance and implementation support using AWS AI/ML services.
• Gathering requirements with stakeholders and proposing model training, building, and deployment strategies.
• Acting as a trusted advisor on industry trends and emerging technologies.
• Mentoring, training, and creating reusable artifacts within the org.

Skills

Technical architecture

Databases

Serverless architecture

OOP programming

Cloud architecture

Project management

Cloud implementation

Education equivalent

AWS experience

GenAI/ML deployment

Coding with SQL/Python

Education

Bachelor's degree or equivalent experience

Job description

Amazon AWS Professional Services is seeking a Delivery Consultant to design, implement, and manage AWS solutions for customers, driving success through cloud journeys. You will architect scalable, secure GenAI/ML applications, guide migrations, and lead implementation with a focus on best practices, risk management, and performance optimization.

You will collaborate with stakeholders, mentor teammates, and stay ahead of industry trends, delivering focused guidance and reusable artifacts across