Enterprise Architect

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.