Live opening · Posted 9 hours ago

Lead AI & Automation Engineer

HCLTech · Noida, Uttar Pradesh, India (Hybrid)
Linkedin Hybrid
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At a glance

The key details from the original listing.

Posted 9 hours ago
CompanyHCLTech
LocationNoida, Uttar Pradesh, India (Hybrid)
Work modeHybrid
SkillsPython, Azure, Terraform
SourceLinkedin
ListedPosted 9 hours ago

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About the role

Description supplied by the original job listing.

Lead AI & Automation Engineer
Location: Noida
Position Overview (Job Summary):
The Lead AI & Automation Engineer will provide technical leadership and hands-on engineering support across Data Center, Network Infrastructure, Cyber Security, and End User Services.
The role is responsible for converting automation and AI opportunities into secure, governed, reusable, production-ready solutions. The individual will manage the automation backlog, establish engineering standards, guide architectural decisions, coach engineers, and personally design and deliver complex automation solutions.
The position covers infrastructure automation, AI-assisted operations, intelligent remediation, self-service, observability, workflow orchestration, AI agents, and integrations involving Microsoft platforms, Red Hat Ansible Automation Platform, ServiceNow, and domain-specific infrastructure technologies.
Key Responsibilities
✅ Lead and mentor AI & Automation Engineers across multiple technology domains.
✅ Design, develop, and deploy enterprise-grade automation solutions and AI-powered workflows.
✅ Build integrations between Microsoft platforms, ServiceNow, infrastructure tools, and business applications.
✅ Establish automation standards, governance, security controls, and reusable engineering patterns.
✅ Drive adoption of Microsoft Copilot, Copilot Studio, Azure OpenAI, Power Platform, and Security Copilot.
✅ Develop Infrastructure-as-Code (Terraform), Ansible playbooks, PowerShell, and Python automation.
✅ Implement intelligent self-service, AI agents, workflow orchestration, and self-healing operations.
✅ Manage automation backlog, delivery roadmap, performance metrics, and business value realization.
✅ Ensure compliance, observability, monitoring, auditability, and operational readiness of all solutions.
✅ Collaborate with business stakeholders, architects, security teams, and technology vendors.
Experience:
Significant experience in enterprise automation, AI engineering, infrastructure engineering, platform engineering or service automation.
Proven technical leadership experience within a cross-functional engineering team.
Strong hands-on experience delivering production-grade automation solutions.
Experience across more than one infrastructure or IT service domain.
Experience designing integrations between enterprise platforms.
Experience establishing engineering standards, governance frameworks and reusable automation patterns.
Experience managing automation backlogs and technical roadmaps.
Experience in complex, global enterprise environments.
Experience presenting technical decisions, risks and business value to senior stakeholders.
Experience converting proofs of concept into secure, scalable and supported production solutions.
Required Skills
Automation & Development
Python
PowerShell
Terraform
Red Hat Ansible Automation Platform
REST APIs
JSON / YAML
Git
CI/CD Pipelines
Infrastructure-as-Code (IaC)
Microsoft Technologies
Microsoft Copilot
Microsoft Security Copilot
Copilot Studio
Power Platform
Power Automate
Azure Automation
Azure OpenAI
Azure DevOps
Microsoft 365
Microsoft Entra ID
Microsoft Intune
Azure Monitor
Service Management
ServiceNow
ITSM Workflows
ServiceNow Security Operations
CMDB
Incident & Change Management
Vulnerability Response
AI Engineering
AI Agents
Generative AI
RAG (Retrieval Augmented Generation)
Prompt Engineering
Knowledge Management
Responsible AI
Human-in-the-Loop Workflows
Preferred Experience
Enterprise Automation
AI Engineering
Infrastructure Engineering
Platform Engineering
Service Automation
Technical Team Leadership
Multi-domain Infrastructure Operations
ServiceNow Integrations
Cloud & Hybrid Infrastructure
Security Automation
Digital Workplace Automation

Work arrangement
Hybrid

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