GenAI & ML Delivery Consultant — Cloud AI Solutions

Amazon Inc.; Austin (TX); On-site; USD 131,000 - 178,000; Full time

Job summary

Amazon Web Services (AWS) ProServe Delivery Consultant role focuses on delivering ML/GenAI solutions for enterprise customers. You will design, implement, and manage AWS AI/ML and GenAI deployments that align with business objectives and technical requirements.

The position involves mentoring teams, guiding cloud adoption strategies, and ensuring secure, scalable architectures. Travel to customer sites may be required as part of engagements.

Qualifications

• 3+ years of software development or scripting language experience.
• 3+ years of building ML and GenAI models for business use.
• Experience with cloud ML services (e.g., SageMaker) and GenAI applications.

Responsibilities

• Implement end-to-end AI/ML and GenAI projects from understanding business needs to data preparation, model development, deployment and monitoring.
• Design scalable ML pipelines for high-performance, reliable, scalable, and secure workloads.
• Design scalable ML solutions and MLOps using AWS services and leveraging GenAI when applicable.
• Collaborate with cross-functional teams to prepare, analyze, and operationalize data and AI/ML models.
• Serve as a trusted advisor to customers on AI/ML, GenAI solutions and cloud architectures.
• Share knowledge and best practices within the organization via mentoring, training, and reusable artifacts.
• Ensure solutions meet industry standards and support customers in advancing AI/ML, GenAI and cloud adoption strategies.

Skills

Software development

ML/GenAI modeling

AWS SageMaker experience

Tools

SageMaker

Bedrock

EC2

ECS

EKS

OpenSearch

LangChain

LangGraph

LlamaIndex

PyTorch

TensorFlow

Job description

Amazon Web Services (AWS) ProServe Delivery Consultant role focuses on delivering ML/GenAI solutions for enterprise customers. You will design, implement, and manage AWS AI/ML and GenAI deployments that align with business objectives and technical requirements.

The position involves mentoring teams, guiding cloud adoption strategies, and ensuring secure, scalable architectures. Travel to customer sites may be required as part of engagements.