What are the responsibilities and job description for the Enterprise Architect position at Intellectyx, Inc.?
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.