GenAI/ML Delivery Consultant for Enterprise Cloud

Amazon Web Services (AWS)

Jersey City (NJ)

On-site

USD 145,000 - 195,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave
RSUs

Job summary

Amazon Web Services, Inc. is seeking an experienced Delivery Consultant to implement end-to-end AI/ML and GenAI projects for enterprise customers in a highly collaborative, customer-facing role.

You will design, deploy, and optimize AI/ML solutions on AWS, working closely with Applied Science, DevOps, Data Engineering, and Cloud Infrastructure teams to ensure success across the project lifecycle. You will guide customers on cloud architectures, best practices, and GenAI adoption strategies while

Qualifications

  • Experience with AI/ML technologies and GenAI
  • 3+ years of building ML/GenAI models for business use
  • 3+ years of customer-facing work with executives/partners
  • Experience with cloud ML services (e.g., SageMaker) and GenAI apps
  • 3+ years of coding, SQL, and scripting (Python)

Responsibilities

  • Implement end-to-end AI/ML and GenAI projects from business needs to deployment
  • Design scalable ML pipelines and secure ML workloads
  • Build ML operations (MLOps) using AWS services and GenAI
  • Collaborate with cross-functional teams to operationalize data and models
  • Advise customers on AI/ML and cloud architectures and best practices
  • Mentor others and share reusable artifacts
  • Ensure solutions meet industry standards and drive cloud adoption

Skills

AI/ML technologies
Customer-facing experience
GenAI solutions knowledge
SageMaker familiarity

Tools

SQL
Python
LangChain
LangGraph
LlamaIndex

Job description

Amazon Web Services, Inc. is seeking an experienced Delivery Consultant to implement end-to-end AI/ML and GenAI projects for enterprise customers in a highly collaborative, customer-facing role.

You will design, deploy, and optimize AI/ML solutions on AWS, working closely with Applied Science, DevOps, Data Engineering, and Cloud Infrastructure teams to ensure success across the project lifecycle. You will guide customers on cloud architectures, best practices, and GenAI adoption strategies while

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