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Agent Architect

KPI Partners

15 - 17 years

Bengaluru

Posted: 17/02/2026

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Job Description

About the Company


KPI Partners is looking for a creative, detail-oriented Agentic Architect with 1015 years of experience to support our growing team.


About the Role


We are seeking an AI Architect to lead the design and evolution of our AI Framework. 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


  • 1015+ years overall experience, with strong depth in architecture, distributed systems, and AI-driven platforms.

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.

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