AWS Solutions Architect- AI/ML

C
CloudelligentCloud Consulting
CanadaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
8+ years
Required Skills
AWSDockerMachine LearningData engineeringTerraformCloudFormationGenerative AI

Requirements

  • 8+ years of experience designing, building, and operating solutions on AWS.
  • Strong expertise in cloud modernization, data engineering, and AI/ML architecture.
  • Deep understanding of cloud-native patterns and AWS Well-Architected best practices.
  • Hands-on experience with Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
  • Expertise in designing data pipelines, data lakes, and data warehouses.
  • Proven experience migrating legacy applications using containers (Docker, ECS, EKS) and serverless technologies.
  • Proficiency with Terraform or CloudFormation for infrastructure automation.
  • Experience in pre-sales and customer-facing roles.
  • AWS Certified Machine Learning – Associate preferred.
  • AWS Certified Gen AI Developer - Professional preferred.
  • AWS Certified Solutions Architect – Associate or Professional preferred.

Responsibilities

  • Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS.
  • Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies.
  • Lead technical presales discussions to understand client needs and design solutions.
  • Act as a trusted advisor, guiding clients through custom cloud architecture design.
  • Lead deep-dive architecture sessions and propose Well-Architected solutions.
  • Define and implement cloud governance frameworks to ensure compliance and security.
  • Implement advanced Generative AI use cases to automate business processes.
  • Lead cloud migration initiatives focusing on data and app modernization.
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