Good understanding of Generative AI, large language models, Agentic AI concepts, prompt engineering, and responsible AI practices. • Experience identifying and prioritizing automation opportunities based on business value, feasibility, risk, and return on investment. • Working knowledge of automation platforms and techniques such as Power Automate, RPA, scripting, workflow orchestration, AIOps, or equivalent tools. • Awareness of enterprise AI patterns such as Retrieval-Augmented Generation (RAG), knowledge assistants, intelligent ticket classification, automated reporting, and predictive operations. • Ability to translate operational pain points into clear AI/automation use cases, requirements, success measures, controls, and implementation roadmaps. • Ability to work with engineering teams on proof-of-concept validation, data readiness, integration, security, governance, adoption, and value realization.
Lead end-to-end delivery of infrastructure projects, upgrades, migrations, releases, and service-improvement initiatives across one or more business units. • Own project planning, scope, schedules, budgets, resources, dependencies, risks, issues, and delivery milestones. • Provide clear governance through status reporting, cost tracking, RAID management, escalation, and executive stakeholder communication. • Coordinate with business, infrastructure, application, security, operations, vendors, and enterprise partners to define requirements and implementation plans. • Ensure project artifacts, technical procedures, operational documentation, user guides, handover documents, and audit evidence are complete and compliant. • Lead production implementation planning, readiness reviews, cutover activities, outage assessments, remediation, and post-implementation reviews. • Drive service performance against agreed SLAs and KPIs, including availability, incident resolution, change success, customer satisfaction, and operational efficiency. • Identify high-value AI and automation opportunities within incident, request, change, monitoring, reporting, capacity, asset, and knowledge-management processes. • Partner with technical teams to deliver AI/automation solutions from opportunity assessment and proof of concept through deployment, adoption, benefit tracking, and optimization. • Promote Agile ways of working and continuous improvement across delivery and support teams.
18+ years of technical project management, infrastructure delivery, or service delivery management experience. • Proven experience managing complex infrastructure projects and production environments requiring high availability. • 15+ years of hands-on Agile delivery experience using tools such as Jira, Kanban, and Confluence. • Strong understanding of the software/service delivery lifecycle, IT operations, change management, incident management, problem management, and production support. • Demonstrated knowledge or experience in AI and automation initiatives, preferably within infrastructure operations or IT service management. • Strong financial and commercial management skills, including budgeting, forecasting, cost control, resource planning, and benefits tracking. • Excellent stakeholder management and communication skills, including engagement with senior leadership and customers. • Strong organizational, analytical, problem-solving, and decision-making skills, with the ability to work under pressure. • Flexibility to support critical implementations, meetings, or production events outside standard business hours when required. Preferred Certifications • PMP, PRINCE2, ITIL, Scrum Master, or equivalent project/service-management certification. • Microsoft Azure AI, Azure Fundamentals, Power Platform, automation, cloud, or AIOps-related certification. • Certification or formal learning in Generative AI, responsible AI, or AI for project/service management.
Key Competencies • Delivery ownership and accountability • Customer and stakeholder management • Infrastructure project governance • Risk, compliance, and audit readiness • Financial and resource management • AI and automation opportunity discovery • Data-driven decision-making • Continuous improvement and innovation
Source: HCLTech careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
HCLTech is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
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