Lead AI & Automation Engineer

HCL Technologies Limited; Dadri; In loco; INR 1.800.000 - 2.400.000; Tempo pieno

Descrizione del lavoro

HCL Technologies Limited is seeking an Lead AI & Automation Engineer to provide technical leadership and hands-on engineering support across Data Center, Network Infrastructure, Cyber Security, and End User Services.

This role focuses on turning automation and AI opportunities into secure, production-ready solutions, managing the automation backlog, and guiding architectural decisions while coaching engineers across multiple domains.

Competenze

• Proven leadership of AI & automation engineers across multiple domains.
• Experience in more than one IT service/infrastructure domain.
• Experience establishing engineering standards and reusable automation patterns.
• Experience managing automation backlogs and technical roadmaps.
• Experience in complex, global enterprise environments.

Mansioni

• 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 AI tools and automation platforms across the org.
• Develop infrastructure-as-code and automation scripts (Terraform, Ansible, PowerShell, Python).
• Implement intelligent self-service, AI agents, and workflow orchestration.
• Manage backlog, delivery roadmap, and measure business value realized.
• Ensure observability, security, and operational readiness of all solutions.

Conoscenze

AI leadership

Cross-domain infra

Stakeholder comms

Backlog management

Strumenti

Terraform

Ansible

PowerShell

Python

ServiceNow

Microsoft Copilot

Descrizione del lavoro

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:

• Proven technical leadership experience within a cross-functional engineering team.
• Experience across more than one infrastructure or IT service domain.
• 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.