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.
Job Type: Full-time

Pay: ?2,515,602.20 - ?7,552,171.06 per year

Benefits:

Flexible schedule Health insurance Life insurance Paid sick time Paid time off Provident Fund * Work from home