Sr Staff Enterprise AI Architect
Tasks
- Architect scalable reusable secure AI and GenAI solution patterns
- Build reusable AI services and accelerators for multiple use cases
- Collaborate with platform cloud data and cybersecurity teams for governance alignment
- Conduct architecture reviews and lead production deployment guidance
- Define AI observability evaluation and monitoring frameworks
- Define chunking embedding and hybrid retrieval strategies
- Define enterprise AI architecture strategy across business domains
- Design enterprise AI evaluation frameworks for accuracy hallucination latency and reliability
- Design vector database integration and semantic retrieval
- Establish standards for model selection and orchestration prompt engineering and prompt management
- Guide advanced retrieval architectures and document understanding
- Lead solution design for Generative AI RAG pipelines and agentic workflows
- Mentor engineering teams on enterprise AI architecture and GenAI best practices
- Standardize integration patterns with data lakes ERP workflow platforms and operational applications
Perks/Benefits
Skills/Tech-stack
AI Governance | AI Observability | API Integration | Agentic AI | Amazon Web Services | Chunking | Cloud Architecture | Data Architecture | Distributed Systems | Embedding | Enterprise Data | Enterprise Data Architecture | Generative AI | Hallucination Tracking | LLM orchestration | Langchain | Langgraph | Latency optimization | Microsoft Azure | Model Evaluation | Prompt engineering | Prompt management | RAG | Responsible AI | Retrieval-Augmented Generation | Security | Semantic Kernel | Semantic Search | Vector Database | Web Services | Workflow automation
Education
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