Lead AI Architect
Tasks
- Create reusable patterns reference architectures and playbooks
- Define agentic patterns and multi agent orchestration
- Define data privacy and handling constraints
- Define human in the loop escalation paths
- Define latency reliability and cost controls
- Define non functional requirements security identity access control
- Design API and event driven workflows
- Design enterprise integration patterns
- Design memory retrieval and context strategies
- Embed responsible AI and safety controls by design
- Ensure bounded observable and recoverable agent behavior
- Ensure solutions are auditable and traceable
- Establish evaluation frameworks for accuracy quality and hallucination detection
- Establish monitoring and observability standards
- Own end to end architecture for agentic AI solutions
- Partner on use case framing and acceptance criteria
- Select and standardize AI platforms and services
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Access Management | Agent systems | Agentic Orchestration | Azure | CI/CD | Data Privacy | Event Driven | Event-driven architecture | Generative AI | Human-in-the-loop | Identity and Access Management | Identity and access | Language Models | Large Language Models | MLOps | Model Governance | Monitoring and observability | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Security | Tool-Calling | TypeScript
Education
N/A
Roles
Regions
Countries
States
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