AWS Solutions Architect - AI/ML
New
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.
- Expertise in cloud modernization, data engineering, and AI/ML architecture.
- Strong understanding of cloud-native patterns and AWS Well-Architected best practices.
- Knowledge of AWS services including Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
- Proven expertise in designing data pipelines and integrating data lakes and warehouses.
- Experience migrating legacy applications to AWS using containers (Docker, ECS, EKS) and serverless technologies.
- Proficiency with Terraform or CloudFormation for infrastructure automation.
- Understanding of AWS security controls related to data security and AI privacy.
- Strong experience in pre-sales and customer-facing roles.
- Highly preferred: AWS Certified Machine Learning – Associate, AWS Certified Gen AI Developer - Professional, or AWS Certified Solutions Architect (Associate or Professional).
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 leveraging AI and data strategies.
- Act as a trusted advisor, guiding clients through custom cloud architecture design focused on scalability and security.
- Lead deep-dive architecture sessions to propose Well-Architected solutions, including data pipelines and cloud-native frameworks.
- Define and implement cloud governance frameworks to ensure compliance with AWS security policies and AI privacy standards.
- Collaborate with internal teams to facilitate knowledge transfer from pre-sales to delivery teams.
- Implement advanced Generative AI use cases using AWS tools to automate business processes.
- Lead cloud migration initiatives, focusing on data modernization and multi-region deployments.
- Stay updated on cloud technologies, Generative AI, and machine learning to drive innovation.
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