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AI Platform Architect: Agentic & Generative AI - Cogentiq

About Cogentiq (Fractal’s Agentic AI Platform): Cogentiq is Fractal’s secure, scalable, enterprise agentic AI platform that enables teams to build, test, deploy, monitor agents and multi‑agent workflows with solid observability, evaluation, guardrails and RBAC across any cloud or LLM framework. It includes a no/low‑code development console, Agent & MCP Gateways, and an enterprise marketplace for reusable agents, tools, connections and guardrails.

Role Overview
As an AI Platform Architect, you will design and scale enterprise-grade Agentic AI and Generative AI platforms that power copilots, autonomous workflows, and multi-agent systems. This is a hands-on architect role for a builder who combines deep distributed-systems thinking with practical expertise in LLMs, agent orchestration, and cloud-native platforms.
You will define reference architectures, engineering standards,



and core platform capabilities that enable teams to build, deploy, and operate AI systems at scale.

Key Responsibilities
Platform & Architecture Leadership
- Architect scalable Agentic AI platforms supporting multi-agent orchestration, tool usage, memory, planning, and reasoning workflows
- Design end-to-end GenAI platforms, including:
- Prompt orchestration
- Retrieval-Augmented Generation (RAG) pipelines
- Vector databases
- LLM integrations
- Define modular, microservices-based, API-first architectures enabling rapid development of AI copilots and autonomous systems

Agentic & GenAI Systems
- Define architectural patterns for:
- Agent orchestration and coordination
- Planning, reflection, and reasoning loops
- Human-in-the-loop and feedback-driven systems
- Evaluate and integrate emerging frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, and related ecosystems into enterpri

📌 AI Platform Architect: Agentic (Bengaluru)
🏢 Fractal
📍 Bengaluru