
Architect of End-to-End Agentic AI Systems
22 hours ago
A new role in Agentic AI is now available. As a Vice President, you will be responsible for architecting end-to-end systems using LangChain, LangGraph, and CrewAI frameworks.
This is an excellent opportunity to join a dynamic team of experts in the field of Agentic AI. You will have the chance to drive innovation by conceptualizing and developing agent-based applications focused on delivering measurable business value.
The ideal candidate will have expertise in GCP offerings, experience with deep learning models, and strong proficiency in Python and workflow orchestration. They should also have experience with Docker/Kubernetes and cloud platforms, as well as a deep understanding of LLMs, API integration, and agent-based architectures.
Responsibilities:
- Define and architect end-to-end Agentic AI systems using LangChain, LangGraph, and CrewAI.
- Ensure scalability, modularity, and security in multi-agent workflows and production-grade systems.
- Design robust architectures that support concurrency, reliability, and seamless orchestration of agent behaviors.
- Integrate cutting-edge Gen AI tools and frameworks into architectural strategies to stay ahead of industry trends.
Qualifications we seek in you:
- Expertise in GCP offerings and solution building.
- Experience with LangChain, LangGraph, and CrewAI.
- Strong proficiency in Python and workflow orchestration.
- Experience with Docker/Kubernetes and cloud platforms.
- Deep understanding of LLMs, API integration, and agent-based architectures.
What you will gain from this opportunity:
- Opportunity to work with cutting-edge technology.
- Chance to lead cross-functional teams of developers, data scientists, and AI engineers.
- Professional growth and development opportunities.
- Collaborative and innovative work environment.
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