Director of Engineering

About IntellectyxIntellectyx 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 OverviewThe 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 Areas1. 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.