AI Architect MCP Agentic
The MCP Agentic AI Architect will develop AI strategies, architect agentic systems, and collaborate on AI-driven solutions while enforcing governance and safety standards.
Summary Generated by Built In
We are seeking a visionary Agentic AI Architect to lead the design and deployment of intelligent, autonomous systems that leverage the latest in generative AI, multi-agent frameworks, and cloud-native AI infrastructure. This role is ideal for someone passionate about building scalable, secure, and human-aligned AI systems that can reason, plan, and act autonomously in complex environments.
Job Description:
Key Responsibilities:
- You'll create an AI strategy and vision for large clients / business units.
- You'll architect and implement agentic AI systems integrating LLMs, planning modules, memory, and tool-use capabilities.
- You'll design and deploy multi-agent orchestration frameworks for enterprise use cases (e.g., customer service, operations, R&D).
- You'll build and manage cloud-native AI pipelines using both AWS and Azure AI services.
- You'll collaborate with cross-functional teams to translate business needs into AI-driven cloud solutions.
- You'll define and enforce AI governance, safety, and ethical standards in system design.
- You'll evaluate and integrate open-source and proprietary AI tools, including vector databases, orchestration frameworks (e.g., LangGraph, CrewAI), and cloud-native AI platforms.
- You'll lead proof-of-concept (PoC) initiatives and scale successful prototypes into production-ready systems.
- You'll stay ahead of emerging trends in agentic AI, autonomous systems, and cognitive architectures.
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