What are the responsibilities and job description for the AI Consulting position at HCLTech?
Key Responsibilities
1. Leadership – Office of Automation & AI
- Establish and lead the Office of Automation & AI, driving vision, governance, and execution.
- Define strategic priorities for AI, automation, and agentic transformation across IT operations and delivery.
- Act as the single point of accountability for AI initiatives across IT Operations and SDLC
2. Enterprise AI & Agentic Transformation
- Serve as the central point of contact for all AI-driven transformation initiatives across:
- IT Service Management (ITSM)
- Software Development Lifecycle (SDLC)
- Infrastructure and Application Support
- Drive adoption of agentic AI solutions to enhance efficiency, reliability, and scalability of IT services.
- Champion a culture of innovation and continuous improvement using AI-led interventions.
3. Solution Architecture & Use Case Realization
- Act as the Lead Solution Architect for AI and automation initiatives.
- Collaborate with:
- Central AI Engineering teams
- IT Service Delivery leaders
- Tech Stack owners – Azure AI, AWS, Nvidia, Anthropic & SaaS providers such as SalesForce, SAP,
- Identify, define, and prioritize high-value use cases across ITSM and SDLC.
- Evaluate and leverage:
- Enterprise AI agent catalogs
- Third-party AI/automation solutions
- Guide solution design ensuring alignment to business outcomes and technical feasibility.
4. AI Ecosystem & Stakeholder Collaboration
- Partner with central AI engineering teams to:
- Align on reusable AI capabilities and platforms
- Prioritize initiatives based on business impact and ROI
- Work closely with client stakeholders to tailor solutions for their environments.
- Ensure seamless integration of AI solutions into existing IT systems and processes.
5. Roadmap, Governance & Adoption
- Define and deliver the Agentic Technology Roadmap across ITSM and SDLC.
- Present roadmap to executive stakeholders and secure technical and business approvals.
- Establish governance frameworks to ensure:
- Responsible AI adoption
- Risk mitigation and compliance
- Performance tracking and value realization
- Drive implementation, adoption, and scaling of AI solutions across client environment.
Salary : $180,000 - $220,000