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HCLTech

Technical Architect

Chennai · Staff/Principal

Mature listing - likely many applicantsVerified listingPosted 27d ago

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Skills required

54 listed
Retrieval-Augmented Generation (RAG)Human-In-The-LoopLarge Language Models (LLMs)Multi-Agent SystemsDecision Support SystemsModel Context Protocol (MCP)Azure Data LakeMaster Data Management+46 more
Retrieval-Augmented Generation (RAG)Human-In-The-LoopLarge Language Models (LLMs)Multi-Agent SystemsDecision Support Systems

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Job description

Job Summary

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 o Large Language Models (GPT, Claude, Gemini, Llama) o Retrieval-Augmented Generation (RAG) o Knowledge Graphs o AI Agents and Multi-Agent Systems o Agentic Workflows and Autonomous Decision Support Systems • Architect Agentic AI solutions using frameworks such as: o Azure AI Foundry o Azure AI Agent Service o LangChain o LangGraph o Semantic Kernel o AutoGen o CrewAI o 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: o Azure Databricks o Delta Lake o Lakehouse Architecture o Microsoft Fabric o Azure Data Lake Storage o 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: o Azure AI Foundry o Azure OpenAI o Azure Machine Learning o Azure Kubernetes Service (AKS) o Azure Functions o Azure API Management o Azure Cosmos DB o Azure Cognitive Search o Azure Event Hub o Azure Service Bus o Azure SQL o 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.

Skill Requirements

Artificial Intelligence & Agentic AI • Generative AI and Large Language Models (LLMs) • Prompt Engineering and Context Engineering • Retrieval-Augmented Generation (RAG) • Agentic AI Architectures • Multi-Agent Systems Official Use Only • AI Orchestration Frameworks • AI Evaluation and Observability • Responsible AI and AI Governance • Model Lifecycle Management (ML Ops / LLM Ops) Azure & Cloud Technologies • Microsoft Azure Cloud Platform • Azure OpenAI Service • Azure AI Foundry • Azure Machine Learning • Kubernetes (AKS) • Serverless Computing • Infrastructure as Code (Terraform, Bicep) • DevSecOps and CI/CD Databricks & Data Engineering • Azure Databricks • Delta Lake • Lakehouse Architecture • Unity Catalog • Apache Spark • PySpark • Data Engineering Pipelines • Data Governance and Data Quality • Real-Time Streaming Architectures • Data Mesh and Data Products Programming & Development • Python Official Use Only • SQL • REST APIs • JavaScript or TypeScript • GitHub/GitHub Copilot • API Integration and Tool Calling Frameworks

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

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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