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

HCL Technologies Limited; Dadri; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

HCL Technologies Limited is seeking an AI & Automation Architect to lead end-to-end enterprise AI/automation architecture across GenAI, LLMs, AIOps, cloud, and security domains. The role involves governance, scalable AI-native platforms, and collaboration with Infrastructure, Network, Security, Workplace, Service Management, and Cloud teams.

The candidate will translate business needs into AI solutions, drive architecture from discovery through production, and define patterns, tools, and

Qualifications

• 15+ years of experience in Enterprise Architecture, Infrastructure, Cloud, Automation, or related tech domains.
• Proven experience delivering Enterprise AI/GenAI and Automation Platforms.
• Strong knowledge of Network, Security, Data Center, Workplace, and Cloud Operations.
• Experience leading initiatives from business case and architecture through production rollout and adoption.
• Strong stakeholder management and architecture governance capabilities.

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 monitoring.
• Collaborate across Infrastructure, Network, Security, Workplace, Service Management, and Cloud teams.
• Ensure scalable, secure, resilient, and operationally efficient AI‑native platforms.

Skills

Enterprise Architecture

Cloud Architecture

AI & GenAI

Automation & SRE

Security & Governance

Stakeholder Management

Education

TOGAF or equivalent Enterprise Architecture Certification

Tools

Terraform

Ansible

GitOps

Azure

RAG/Knowledge Graphs

Job description

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 monitoring.
• Collaborate across Infrastructure, Network, Security, Workplace, Service Management, and Cloud teams.
• Ensure scalable, secure, resilient, and operationally efficient AI‑native platforms.

Experience Required

• 15+ years of experience in Enterprise Architecture, Infrastructure, Cloud, Automation, Software Engineering, or related technology domains
• Proven experience delivering Enterprise AI/GenAI and Automation Platforms
• Strong knowledge of Network, Security, Data Center, Workplace, and Cloud Operations
• Experience leading initiatives from business case and architecture through production rollout and adoption
• Strong stakeholder management and architecture governance capabilities

Primary Skills

AI & GenAI

• Distillation

Knowledge & Retrieval

• Semantic Search

Microsoft AI Ecosystem

Operations & Reliability

• Error Budgets

Security & Governance

• Compliance & Risk Management

Preferred Certifications

• Microsoft DevOps
• Microsoft Security
• AI/ML Certifications
• GenAI Certifications
• Terraform Certification
• Red Hat Ansible Automation Certification
• VMware Certifications
• Aruba Certifications
• Palo Alto Certifications
• TOGAF or equivalent Enterprise Architecture Certification