AI Architect

About the Role :

This role will be responsible for defining the end-to-end architecture for intelligent agents, including enterprise integration patterns (EIP), decision flows, and scalable system design.

Responsibilities :

- Define the reference architecture for the AI framework, including agent roles, memory, planning, execution, and feedback loops.

- Design multi-agent systems and interaction patterns (plannerexecutor, supervisorworker, tool-using agents, etc.

- Define Enterprise Integration Patterns (EIP) for agent interaction with : Enterprise applications, APIs, events, queues, and streaming platforms.

- Design secure, scalable integration layers using REST, async messaging, pub/sub, and event-driven architectures.

- Architect the platform across cloud-native and hybrid environments.

- Drive non-functional requirements : scalability, performance, resiliency, and cost optimization.

Qualifications :

- Strong experience in enterprise architecture and distributed systems design.

- Deep understanding of EIP patterns, event-driven architecture, and asynchronous systems.

- Proven experience designing orchestration frameworks and workflow engines.

- Hands-on experience with LLMs, agent frameworks, or AI-driven systems.

- Strong Python programming with experience in Hugging Face transformers, LangChain, OpenAI SDK.

- Strong background in cloud platforms (AWS, Azure, or GCP).

- Experience with containers, Kubernetes, messaging systems, and API gateways.

- Familiarity with observability and reliability engineering practices.

- Strong architectural thinking and documentation skills.

- Excellent stakeholder communication and technical leadership.

- Familiarity with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.

- Looking for immediate joinees only.

Required Skills :

- Strong experience in enterprise architecture and distributed systems design.

- Deep understanding of EIP patterns, event-driven architecture, and asynchronous systems.

- Proven experience designing orchestration frameworks and workflow engines.

- Hands-on experience with LLMs, agent frameworks, or AI-driven systems.

- Strong Python programming with experience in Hugging Face transformers, LangChain, OpenAI SDK.

- Strong background in cloud platforms (AWS, Azure, or GCP).

- Experience with containers, Kubernetes, messaging systems, and API gateways.

- Familiarity with observability and reliability engineering practices.

- Strong architectural thinking and documentation skills.

- Excellent stakeholder communication and technical leadership.

- Familiarity with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.

- Looking for immediate joinees only.

Preferred Skills :

- Familiarity with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.

- Looking for Immediate joinees only .