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Head of Engineering

Head of Engineering

Intellectyx, Inc.Coimbatore, Republic Of India, IN
20 hours ago
Job description

About Intellectyx

Intellectyx is an AI-native, digital innovation company transforming enterprises through agentic, autonomous, and data-driven platforms . We enable organizations to evolve from traditional digital systems to self-learning ecosystems powered by advanced engineering, contextual observability, and AI-driven decision intelligence.

Role Overview

The Director of Engineering will lead the architecture, development, and scaling of our digital and AI-native product ecosystem across Digital Engineering , Agentic AI Frameworks , Data & Analytics , and Cloud Infrastructure . This role requires a seasoned engineering leader who can align technical excellence with strategic vision — driving innovation, operational excellence, and delivery efficiency across distributed teams.

Core Focus Areas

1. Digital Engineering

  • Lead end-to-end product and platform development using Python (Django, FastAPI) , React , Redux , and PostgreSQL .
  • Architect modular APIs and microservices focused on scalability, performance, and reliability.
  • Oversee CI / CD, observability, and infrastructure automation within AWS and Azure environments.

2. Agentic AI Frameworks

  • Drive adoption and engineering excellence using AgnoAI , MCP , LangChain , LangGraph , and Langfuse .
  • Build and orchestrate multi-agent systems , integrating LLM-based reasoning and autonomous task execution.
  • Establish engineering patterns for AI-native architectures leveraging Python 3.13 , FastAPI , and PostgreSQL 16 .

    • 3. Data & Analytics

  • Oversee architecture and engineering of data platforms using Snowflake , Azure Synapse , Azure Data Factory , and Databricks .
  • Integrate Tableau and Power BI for self-service analytics, visual storytelling, and executive dashboards.
  • Ensure data observability, lineage, and quality frameworks are embedded across pipelines.
  • Partner with AI and Product teams to deliver governed, scalable, and intelligent data ecosystems.

    • 4. Cloud Infrastructure

  • Lead multi-cloud deployments in AWS and Azure , ensuring reliability, cost efficiency, and resilience.
  • Champion Infrastructure-as-Code (Terraform) and container orchestration (Kubernetes).
  • Drive unified observability, monitoring, and incident management across hybrid environments.

    • Key Responsibilities

  • Define and implement the engineering strategy and roadmap across digital, AI, and data domains.
  • Translate product vision into scalable, modular, and secure architectures.
  • Lead, mentor, and scale globally distributed engineering teams.
  • Foster a culture of engineering excellence, innovation, and accountability.
  • Partner cross-functionally with Product , Data Science , and Architecture teams for continuous innovation.
  • Ensure adherence to compliance, security, and quality standards.

    • Qualifications

  • 12+ years in software engineering, with 5+ years in senior technical leadership.
  • Proven experience delivering complex SaaS, AI, or data platform solutions.
  • Strong technical expertise in :
  • Digital : Python (Django, FastAPI), React, Redux, PostgreSQL
  • Agentic AI : AgnoAI, MCP, LangGraph, LangChain, Langfuse, Python 3.13
  • Data & Analytics : Snowflake, Azure Synapse, Azure Data Factory, Databricks, Tableau, Power BI
  • Cloud : AWS and Azure, Terraform, CI / CD, Observability tools
  • Strong grasp of architecture, scalability, security, and reliability principles.
  • Excellent leadership, communication, and stakeholder management skills.

    • Preferred Experience

  • Experience delivering AI-native or multi-agent products in production.
  • Familiarity with data quality , observability , and governance frameworks.
  • Experience leading distributed engineering organizations across geographies.
  • Contributions to open-source or research in digital, data, or AI engineering.

    • Why Intellectyx

  • Lead the engineering function of a fast-scaling, AI-native platform company .
  • Work at the intersection of Digital , Data , AI , and Cloud innovation.
  • Competitive compensation, equity, and global growth opportunities.
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    Head Of Engineering • Coimbatore, Republic Of India, IN

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