Principal AI Architect - Product and Framework
Tasks
- Architect AI application framework
- Build AI applications end to end
- Build orchestration layers
- Create AI product roadmap
- Define build vs buy decisions
- Define development standards for AI applications
- Deploy AI solutions to production
- Design APIs and microservices
- Develop reusable AI agents
- Establish RAG and MCP
- Establish governance for Responsible AI
- Implement LLM-based workflows
- Implement ML models
- Integrate AI into enterprise workflows
- Mentor AI engineers
- Monitor and manage model lifecycle
- Translate business logic into AI systems
Perks/Benefits
- Career mobility
- Continuous learning
- Employee assistance programs
- Flexible working hours
- Inclusive culture
- Well-being support
Skills/Tech-stack
AI Agents | API Architecture | APIs | Cloud Native | Enterprise AI | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Governance | Model Monitoring | Orchestration | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Self Service AI Agents | Self-Service | Self-service AI
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Principal | Principal AI Architect
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