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Senior Delivery Consultant

Amazon

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Location:
Brazil , Sao Paulo

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Delivery Consultant to join our Artificial Intelligence Practice at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Job Responsibility:

  • Designing and implementing complex, scalable, and secure AWS AI solutions tailored to customer needs
  • Providing technical guidance and troubleshooting support throughout project delivery
  • Collaborating with stakeholders to gather requirements and propose effective AI implementation strategies
  • Acting as a trusted advisor to customers on industry trends and emerging technologies in AI
  • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Requirements:

  • Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
  • 5+ years of experience in cloud architecture and implementation
  • 5+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing
  • Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models
  • Ability to communicate effectively in English within technical and business settings

Nice to have:

  • Speak, write, and read fluently in Spanish
  • AWS experience preferred, with proficiency in a wide range of AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3 and EC2)
  • AWS Certification (Solution Architect Associate, Machine Learning Engineer Associate)
  • Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models
What we offer:
  • Inclusive Team Culture
  • Mentorship & Career Growth
  • Work/Life Balance

Additional Information:

Job Posted:
January 25, 2026

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