AI Technology Architect
Tasks
- Build reusable AI reference architectures
- Collaborate with engineering cloud cybersecurity and business teams
- Define AI architecture standards
- Design enterprise AI architecture
- Drive MLOps engineering excellence
- Ensure AI platform governance and security
- Ensure integration with cloud platforms APIs and data ecosystems
- Evaluate emerging AI technologies and recommend solutions
- Integrate AI solutions with enterprise applications
- Lead solution architecture for AI products
- Manage model lifecycle and observability
- Mentor engineering teams and promote architecture best practices
- Provide architecture guidance through delivery lifecycle
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS AI | Agentic AI | Artificial Intelligence | Azure AI | Cloud AI | Cloud Native | Cloud Native Architecture | Containerization | Enterprise Integration | Generative AI | Google Cloud | Google Cloud AI | Governance | LLMOps | Language Models | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Microservices | Model Lifecycle | Model Lifecycle Management | Observability | Retrieval-Augmented Generation | Security
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Technology Architect | Architect | Solution Architect | Technology Architect
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