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Tier-1 brand, metro Bangalore location, and broad AI-enterprise skillset increase candidate competition.
Enterprise architecture plus AI experience required, making skills moderately transferable but domain-focused.
Requires enterprise architecture and AI/MLOps expertise, so domain-specific skills raise shortlisting strictness.
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Partner with stakeholders to identify and prioritize AI use cases driving measurable business and experience outcomes.
Map and redesign business processes for AI-enabled improvements, assessing feasibility and quantifying value through business cases.
Ensure AI solutions align with enterprise architecture, data readiness, security, and responsible AI principles while bridging business and technical teams.
Mandatory onsite work from an HPE office location.
Strong business or enterprise architecture background with transformation or process excellence experience.
Working knowledge of AI/ML, cloud platforms, MLOps, Large Language Models, and agentic AI concepts.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in bridging business strategy and AI technology execution in ambiguous, fast-paced environments.
Skilled at creating solution concepts that integrate AI capabilities with enterprise architecture and governance.
Comfortable engaging multiple stakeholders including business, IT, data science, and delivery teams to drive scalable AI solutions.