AI & Automation Architect – Enterprise AI, Automation & Autonomous Operations (Noida)

AI & Automation Architect – Enterprise AI, Automation & Autonomous Operations (Noida)

09 Oct
|
HCLTech
|
Noida

09 Oct

HCLTech

Noida

AI & Automation Architect – Enterprise AI, Automation & Autonomous Operations

Location: Noida

About the Role
We are seeking an AI & Automation Architect to drive end-to-end architecture across AI, GenAI, LLMs, Agentic AI, Automation, AIOps, Cloud, Security, and Enterprise Infrastructure. The role is responsible for taking ideas from business problem identification through architecture, implementation, production deployment, and operational adoption.The successful candidate will define enterprise AI architecture, establish governance and security standards, design scalable AI-native platforms, and collaborate across Infrastructure, Network, Security, Workplace, Service Management, and Hybrid Cloud domains.

Key Responsibilities
• Own and drive enterprise AI and automation architecture, standards, and roadmap.
• Translate business needs into AI, GenAI, Agentic AI, AIOps, and automation solutions.
• Lead architecture from discovery and design through production deployment and adoption.
• Define reusable architecture patterns, governance, and best practices.




• Provide technical leadership through prototyping, design reviews, and engineering guidance.
• Design and govern LLM, GenAI, RAG, and Agentic AI architectures.
• Architect Microsoft Copilot, Copilot Studio, Microsoft Foundry, and Azure OpenAI solutions.
• Design single-agent and multi-agent systems with secure tool integration and orchestration.
• Build enterprise knowledge architectures using RAG, vector databases, embeddings, and knowledge graphs.
• Define AIOps, observability, and intelligent operations frameworks.
• Establish NRE, SRE, PRE, and MIRE reliability engineering practices.
• Drive automation using Ansible, Python, PowerShell, Bash, Terraform/OpenTofu, and APIs.
• Implement Infrastructure-as-Code, GitOps, and policy-driven automation standards.
• Define AI security, Zero Trust, governance, and compliance controls.
• Establish LLMOps, MLOps, and GenAIOps processes for lifecycle management and monitor

📌 AI & Automation Architect – Enterprise AI, Automation & Autonomous Operations (Noida)
🏢 HCLTech
📍 Noida

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