AI/ML Delivery Consultant for GenAI & Cloud Solutions

Amazon Web Services (AWS); Atlanta (GA); On-site; USD 131,000 - 178,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) is seeking a skilled ML Engineer to join the Professional Services as a Delivery Consultant. You will design, implement, and manage AWS AI/ML and GenAI solutions for customers, guiding them through cloud adoption and best practices throughout the project lifecycle.

The role involves architecting scalable AI/ML solutions, collaborating with cross-functional teams, and mentoring others while ensuring secure, compliant deployments across diverse enterprise environments.

Qualifications

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

Responsibilities

• Implement end-to-end AI/ML and GenAI projects from business needs to deployment and monitoring.
• Design and implement ML pipelines that are high-performance, scalable, and secure.
• Design scalable ML solutions and MLOps using AWS services and GenAI solutions where 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 and GenAI solutions and cloud architectures.
• Share knowledge and best practices through mentoring and creating reusable artifacts.
• Ensure solutions meet industry standards and support customers in cloud adoption strategies.

Skills

Software development

ML/GenAI modeling

Cloud services

Tools

SageMaker

Bedrock

EC2

ECS

EKS

OpenSearch

LangChain

LangGraph

LlamaIndex

Job description

Amazon Web Services (AWS) is seeking a skilled ML Engineer to join the Professional Services as a Delivery Consultant. You will design, implement, and manage AWS AI/ML and GenAI solutions for customers, guiding them through cloud adoption and best practices throughout the project lifecycle.

The role involves architecting scalable AI/ML solutions, collaborating with cross-functional teams, and mentoring others while ensuring secure, compliant deployments across diverse enterprise environments.