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Enterprise Architect

Enterprise Architect

Intellectyx, Inc.Coimbatore, Tamil Nadu, India
1 day ago
Job description

About Intellectyx

Intellectyx.ai is an AI-native innovation company helping enterprises evolve from traditional digital systems to agentic, autonomous, and data-intelligent ecosystems . Our mission is to enable organizations to operate faster, smarter, and with deeper trust — blending data observability, agentic AI, and contextual intelligence across every business layer.

Role Overview

The Enterprise Architect plays a pivotal role in defining and governing the technical architecture, integration patterns, and digital blueprint across Intellectyx’s platform ecosystem and client implementations. This role bridges business strategy and technology execution — ensuring solutions are scalable, secure, data-driven, and AI-ready across multi-cloud environments.

You will lead architectural planning across Digital (App & API Layer) , Data (Integration & Analytics Layer) , and Agentic AI (Automation & Intelligence Layer) , enabling end-to-end alignment of technology capabilities with business outcomes.

Key Responsibilities

1. Architecture Strategy & Governance

  • Define and maintain the enterprise architecture roadmap covering applications, data, AI, and cloud infrastructure.
  • Establish architecture principles, design standards, and reference models aligned with Intellectyx’s AI-native platform vision.
  • Conduct architecture reviews and ensure alignment across solution, data, and infrastructure domains.
  • Partner with leadership to translate business goals into scalable and modular technology blueprints.

2. Digital Architecture

  • Architect and integrate large-scale digital applications built on Python (Django, FastAPI) , React , Redux , and PostgreSQL .
  • Define API and microservices strategies for reusability and interoperability.
  • Ensure secure, observable, and high-performing architecture in AWS and Azure environments.
  • 3. Agentic AI & Automation

  • Design multi-agent architectures using AgnoAI , MCP , LangChain , LangGraph , and Langfuse frameworks.
  • Define orchestration patterns for LLM-driven automation, reasoning, and workflow execution.
  • Establish governance around prompt templates, vector stores, and context retrieval pipelines for intelligent decision systems.
  • 4. Data & Analytics Architecture

  • Architect data solutions using Snowflake , Azure Synapse , Azure Data Factory , and Databricks .
  • Enable unified data observability, lineage tracking, and semantic modeling for AI-readiness.
  • Oversee analytics architecture integrating Tableau and Power BI for business visualization and storytelling.
  • Collaborate with Data Science teams to operationalize ML / AI models and ensure scalability, governance, and performance.
  • 5. Cloud & Infrastructure

  • Architect hybrid and multi-cloud solutions leveraging AWS and Azure for compute, storage, and orchestration.
  • Champion Infrastructure-as-Code (Terraform) and DevOps best practices.
  • Drive cost optimization, resilience, and high availability across distributed deployments.
  • Qualifications

  • 10+ years of IT experience with 5+ years in architecture or technical leadership roles.
  • Proven experience designing enterprise-scale systems , SaaS platforms, or AI / data architectures.
  • Deep expertise in :
  • Digital : Python, Django, FastAPI, React, Redux, PostgreSQL
  • Agentic AI : AgnoAI, MCP, LangChain, LangGraph, Langfuse, LLM integration
  • Data : Snowflake, Azure Synapse, Azure Data Factory, Databricks, Tableau, Power BI
  • Cloud : AWS, Azure, Terraform, Kubernetes
  • Strong knowledge of architecture frameworks (TOGAF, Zachman) and design principles (Domain-Driven Design, Event-Driven Architecture).
  • Excellent communication and documentation skills for engaging both executive and technical stakeholders.
  • Preferred Experience

  • Experience defining enterprise reference architectures for AI-native or multi-agent platforms.
  • Strong understanding of data governance, security, and compliance frameworks.
  • Experience working in multi-tenant SaaS or large-scale enterprise environments.
  • Prior involvement in technology modernization, digital transformation, or AI strategy programs.
  • Why Intellectyx

  • Shape the architectural foundation of an AI-native enterprise ecosystem.
  • Work with cutting-edge technologies across Digital, Data, AI, and Cloud .
  • Join a global innovation-driven culture with opportunities for leadership and ownership.
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