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Tier-1 employer and metro location increase competition, but role specificity moderates applicant density.
Requires enterprise architecture and domain-specific AI experience, limiting cross-industry transferability.
Requires enterprise architecture and AI/MLOps expertise but lacks explicit years, so moderate filtering.
Partner with business stakeholders to identify and prioritize AI use cases linked to measurable business value and experience outcomes.
Map and redesign business processes to leverage AI for workflow automation, decision support, and experience enhancement.
Assess AI opportunity feasibility, value, risks, and alignment with enterprise architecture, delivering build/buy/partner recommendations and facilitating cross-team collaboration.
Work Experience Required: Not explicitly mentioned in the JD.
Must work primarily onsite at an HPE office in India.
Strong business or enterprise architecture background with experience in transformation or process excellence.
Working knowledge of AI/ML, cloud platforms, MLOps, large language models, and agentic AI concepts.
Experienced in bridging business and technical teams, capable of translating business needs into AI solution concepts and architecture-aligned recommendations.
Comfortable operating in ambiguous environments and capable of connecting business strategy to execution-ready roadmaps.
Familiarity with enterprise business processes such as Q2C and strong stakeholder engagement and facilitation skills.