AI Architect
Tasks
- Build reusable AI accelerators and reference architectures
- Define AI governance standards and guardrails
- Design AI first delivery models across SDLC
- Design multi-agent systems
- Develop MLOps and LLMOps pipelines
- Enable self service AI platforms in cloud
- Ensure observability explainability and security for AI implementations
- Establish prompt engineering standards and evaluation frameworks
- Implement retrieval augmented generation systems
- Integrate AI agents into CI CD pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | APIs | Agent systems | Agentic AI | Amazon Web Services | Artificial Intelligence | Autogen | CI/CD | CrewAI | Data Privacy | DevOps | Distributed Systems | Embeddings | Generative AI | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Microsoft Azure | Model Evaluation | Model Risk Management | Model risk | Multi-Agent | Multi-Agent Systems | Prompt engineering | Retrieval-Augmented Generation | Risk Management | Web Services
Education
N/A
Roles
AI | AI Architect | Architect
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