Lead Solution Architect AI/ML
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 113K-210K Senior-level Full Time
Tasks
- Build cloud-native microservices
- Collaborate on roadmaps scoping and business process modeling
- Create automated documentation pipelines
- Create high coverage test suites
- Design end-to-end solution architectures
- Develop and socialize reference architectures
- Embed AI/ML capabilities into workflows
- Enforce non-functional requirements
- Establish AI driven code generation frameworks
- Identify and remediate technical debt
- Implement AI governance with human in the loop controls
- Implement secure data access patterns
- Integrate GenAI with enterprise data APIs messaging and streaming
- Mentor engineers and architects
- Modernize legacy codebases
- Optimize AI generated code quality security and performance
- Produce architecture artifacts and conduct reviews
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agile | Amazon Web Services | Artificial Intelligence | Automated testing | C# | CI/CD | Cloud Native | Cloud platform | Cloud-native development | CloudFormation | Continuous integration | Data Governance | DevOps | Event Sourcing | Event Streaming | Go | Google Cloud | Google Cloud Platform | Human-in-the-loop | Infrastructure as Code | Java | Language Models | Large Language Models | MLOps | Machine Learning | Messaging | Microservices | Microsoft Azure | Native Development | Privacy | Python | Retrieval-Augmented Generation | Security Engineering | Terraform | The Loop | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Solution Architect
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