Technical Architect

HCL Technologies Limited; Chennai District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

HCL Technologies Limited is seeking a Senior AI Solution Architect to lead end-to-end AI strategy, architecture, and governance across enterprise data platforms and Azure-based services. You will shape scalable AI ecosystems, align AI initiatives with business goals, and drive responsible AI practices.

The role requires deep expertise in Azure, Databricks Lakehouse, data engineering, ML, LLMs, and agentic AI frameworks, with leadership responsibility for cross-functional teams and architecture

Qualifications

• Deep expertise in enterprise AI strategy and governance.
• Proven ability to design AI-powered solutions across data, cloud, and ML.
• Experience with agentic AI frameworks and multi-agent systems.

Responsibilities

• Define enterprise AI strategy, reference architectures, and governance.
• Design and implement AI-powered solutions using LLMs, RAG, Knowledge Graphs, and AI Agents.
• Architect agentic AI solutions with Azure Foundry, LangChain, and related tools.
• Lead cloud, data, and security governance across AI platforms.
• Mentor teams on AI, cloud, and data architectures.

Skills

Azure Cloud

Databricks

LLMs

Agentic AI

Security & Governance

Tools

LangChain

Semantic Kernel

AutoGen

Azure OpenAI

Job description

We are seeking a highly experienced Senior AI Solution Architect with expertise in Artificial Intelligence, Agentic AI, Data Platforms, Cloud Architecture, and Enterprise Solution Design to lead the design and implementation of transformative AI-powered solutions. The ideal candidate will possess a strong foundation in Azure Cloud, Databricks Lakehouse Platform, Data Engineering, Machine Learning, Large Language Models (LLMs), Agentic AI frameworks, and enterprise architecture practices. This role requires a strategic technology leader who can bridge business objectives and emerging AI capabilities, architect scalable AI ecosystems, and guide organizations in adopting AI-driven operating models while ensuring security, governance, and responsible AI practices.

Key Responsibilities

• AI & Agentic AI Architecture
  • Define enterprise AI strategy, reference architectures, and governance frameworks.
  • Design and implement AI-powered solutions leveraging: Official Use Only
    • Large Language Models (GPT, Claude, Gemini, Llama)
    • Retrieval-Augmented Generation (RAG)
    • Knowledge Graphs
    • AI Agents and Multi-Agent Systems
    • Agentic Workflows and Autonomous Decision Support Systems
  • Architect Agentic AI solutions using frameworks such as:
    • Azure AI Foundry
    • Azure AI Agent Service
    • LangChain
    • LangGraph
    • Semantic Kernel
    • AutoGen
    • CrewAI
    • MCP (Model Context Protocol)
  • Define orchestration patterns for autonomous agents, human-in-the-loop workflows, tool calling, memory management, and agent governance.
  • Establish Responsible AI, model monitoring, evaluation, explainability, and risk management practices.
• Data & Analytics Architecture
  • Architect enterprise-scale data platforms using:
    • Azure Databricks
    • Delta Lake
    • Lakehouse Architecture
    • Microsoft Fabric
    • Azure Data Lake Storage
    • Azure Synapse Analytics
  • Design scalable batch and real-time data processing solutions. Official Use Only
  • Define data product architectures supporting Data-as-a-Product and self service analytics initiatives.
  • Establish metadata, lineage, governance, data quality, and master data management frameworks.
  • Design vector databases and knowledge retrieval architectures supporting RAG implementations.
• Azure Cloud Architecture
  • Lead architecture and engineering efforts across Microsoft Azure services including:
    • Azure AI Foundry
    • Azure OpenAI
    • Azure Machine Learning
    • Azure Kubernetes Service (AKS)
    • Azure Functions
    • Azure API Management
    • Azure Cosmos DB
    • Azure Cognitive Search
    • Azure Event Hub
    • Azure Service Bus
    • Azure SQL
    • Microsoft Fabric
  • Design highly available, scalable, secure, and resilient cloud architectures.
  • Define cloud governance, cost optimization, and operational excellence frameworks.
  • Drive cloud modernization and migration programs.
• Enterprise Integration & Platform Engineering
  • Architect API-first and event-driven enterprise solutions. Official Use Only
    • Design microservices and service-oriented architectures supporting AI platforms.
    • Build reusable platform capabilities for AI application development.
    • Integrate enterprise systems, business applications, and AI services into unified solution architectures.
• Security, Governance & Compliance
  • Ensure AI solutions comply with enterprise security, privacy, and regulatory requirements.
  • Establish AI governance frameworks, model lifecycle management, and AI risk controls.
  • Implement secure data access, identity management, and Zero Trust principles.
  • Define enterprise standards for AI platform security and compliance.
• Leadership & Stakeholder Management
  • Act as a trusted advisor to business leaders and executive stakeholders.
  • Lead architecture review boards and technical governance processes.
  • Mentor architects, engineers, and product teams on AI, cloud, and data architectures.
  • Develop reusable patterns, standards, and best practices that accelerate solution delivery.

Other Requirements

Preferred Certifications Microsoft Certifications • Microsoft Certified: Azure Solutions Architect Expert • Microsoft Certified: Azure AI Engineer Associate • Microsoft Certified: Azure Data Engineer Associate • Microsoft Certified: Azure Administrator Associate • Microsoft Certified: Fabric Analytics Engineer Associate • Microsoft Certified: Azure Developer Associate Databricks Certifications • Databricks Certified Data Engineer Professional • Databricks Certified Data Architect • Databricks Certified Machine Learning Professional • Databricks Generative AI Fundamentals AI & Generative AI Certifications • Microsoft Applied Skills: Build Generative AI Solutions with Azure OpenAI • Microsoft Applied Skills: Develop AI Agents using Azure AI Foundry • Google Professional Machine Learning Engineer • AWS Certified Machine Learning Specialty • NVIDIA Generative AI Professional Certification • DeepLearning.AI Generative AI Specialization Official Use Only • Anthropic certifications. • DeepLearning.AI Agentic AI Engineering Certification Enterprise Architecture Certifications • TOGAF Certification • SAFe Agilist or SAFe Architect

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.