GenAI/ML Cloud Delivery Consultant

Amazon Web Services (AWS)

Houston (TX)

On-site

USD 131,000 - 178,000

Full time

33 hours ago
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Benefits offered by this job

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

Job summary

Amazon Web Services, Inc. is seeking a Delivery Consultant for AWS ProServe to design, implement, and manage GenAI and ML applications built on AWS, aligning with customer needs and business goals.

You will work with stakeholders to gather requirements, architect scalable solutions, guide migration strategies, and lead implementation while sharing best practices and mentoring teammates.

Qualifications

  • Experience developing software code in one or more programming languages (java, python, etc.).
  • Bachelor's degree in computer science or equivalent.
  • 3+ years of cloud architecture and solution implementation experience.
  • 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for 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

Software coding
Cloud architecture
GenAI/ML deployments

Education

Bachelor's in CS or equivalent
Master's/PhD in related field

Tools

S3
Redshift
Sagemaker
EMR
Kinesis
Lambda
EC2

Job description

Amazon Web Services, Inc. is seeking a Delivery Consultant for AWS ProServe to design, implement, and manage GenAI and ML applications built on AWS, aligning with customer needs and business goals.

You will work with stakeholders to gather requirements, architect scalable solutions, guide migration strategies, and lead implementation while sharing best practices and mentoring teammates.

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