AI Architect
Tasks
- Deploy and integrate AI components into enterprise applications
- Design AI orchestration architecture
- Design AI pipelines for RAG and LLM orchestration
- Design observability stacks for AI monitoring
- Ensure compliance with enterprise security standards
- Ensure responsible compliant AI adoption
- Establish AI governance and auditability frameworks
- Implement AI platforms and integrations
- Implement agentic AI systems and workflows
- Manage model lifecycle and evaluation
- Optimize inference cost latency and throughput
- Oversee end-to-end AI project delivery
Perks/Benefits
Skills/Tech-stack
APIs | Agent Orchestration | Agentic AI | Azure | Containerization | Data Privacy | Drift Detection | Embeddings | Encryption | FinOps | Fine Tuning | IAM | Kubernetes | LLM Evaluation | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MCP | Model Risk Management | Model risk | Multi-Agent | Multi-agent orchestration | Observability | Prompt Monitoring | Prompt engineering | Python | RAG | Retraining | Risk Management | Semantic Kernel | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect
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