Enterprise Architect

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.