GenAI & ML Cloud Delivery Consultant

Amazon Web Services (AWS)

Jersey City (NJ)

On-site

USD 145,000 - 195,000

Full time

3 days ago
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Job summary

Amazon Web Services, Inc. is seeking a Delivery Consultant for the ProServe team in the United States. You will design, implement, and manage AWS-based GenAI/ML solutions, guiding customers through cloud adoption and migration strategies while aligning with best practices for security and performance.

You will work with stakeholders to gather requirements, propose training and deployment approaches, and mentor teammates while staying ahead of industry trends and emerging technologies.

Qualifications

  • Experience developing software code in one or more programming languages (java, python, etc.).
  • 3+ years of cloud architecture and solution implementation experience
  • 2+ years of experience hosting and deploying GenAI/ML solutions (training, fine tuning, and inferences)

Responsibilities

  • Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
  • Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
  • Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
  • Acting as a trusted advisor to customers on industry trends and emerging technologies
  • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Skills

Programming languages
Cloud architecture
GenAI/ML deployment

Tools

AWS AI/ML services

Job description

Amazon Web Services, Inc. is seeking a Delivery Consultant for the ProServe team in the United States. You will design, implement, and manage AWS-based GenAI/ML solutions, guiding customers through cloud adoption and migration strategies while aligning with best practices for security and performance.

You will work with stakeholders to gather requirements, propose training and deployment approaches, and mentor teammates while staying ahead of industry trends and emerging technologies.

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