Director of Engineering
ConfidentialCoimbatore, India4 days ago
Job descriptionDrive 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 . 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. 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. 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. 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. 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. 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.
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
3. Data & Analytics
4. Cloud Infrastructure
Key Responsibilities
Qualifications
Preferred Experience
Why Intellectyx
Skills Required
Power Bi, Postgresql, Redux, Tableau, Django, Azure Synapse, React, Azure Data Factory, Terraform, snowflake , Mcp, Databricks, FastAPI, Azure, Kubernetes, Python, Aws
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Director Engineering • Coimbatore, India
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