Technical Architect

Intellectyx, Inc.; Pasadena (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Intellectyx.ai seeks a Technical Architect to define and govern the architectural blueprint across its AI-native platform ecosystem and client implementations. You will lead architecture strategy for Digital (App & API), Data (Integration & Analytics), and Agentic AI (Automation & Intelligence) layers, ensuring scalable, secure, data-driven, and AI-ready solutions across multi-cloud environments.

You will drive architecture governance, reference models, and API/microservices strategies while

Qualifications

• 10+ years of IT experience with 5+ years in architecture or technical leadership roles.
• Deep expertise in Agentic AI concepts and multi-agent systems.
• Strong knowledge of TOGAF & Zachman architecture frameworks and design principles such as Domain-Driven Design and Event-Driven Architecture.
• Excellent communication and documentation skills for executive and technical stakeholders.

Responsibilities

• Define and maintain the enterprise architecture roadmap for applications, data, AI, and cloud infrastructure.
• Establish architecture principles, standards, and reference models aligned with the AI-native platform vision.
• Conduct architecture reviews ensuring alignment across solution, data, and infrastructure domains.
• Translate business goals into scalable, modular technology blueprints in collaboration with leadership.
• Architect and integrate large-scale digital applications using Python, Django, FastAPI, React, Redux, and PostgreSQL.
• Define API and microservices strategies for reuse and interoperability.
• Ensure secure, observable, and high-performing architecture in AWS and Azure.

Skills

Enterprise architecture

TOGAF

Zachman

Domain-Driven Design

Event-Driven Architecture

Python

Django

FastAPI

React

Redux

PostgreSQL

AWS

Azure

Terraform

Tableau

Power BI

Snowflake

Azure Synapse

Azure Data Factory

Databricks

Tools

Python (Django, FastAPI)

React

Redux

PostgreSQL

AWS

Azure

Tableau

Power BI

Snowflake

Azure Synapse

Azure Data Factory

Databricks

Terraform

Job description

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 Technical 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.
• 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.
• 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.
• 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.
• Deep expertise in:
• Agentic AI: AgnoAI, MCP, LangChain, LangGraph, Langfuse, LLM integration
• 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.