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A highly senior, customer-facing architecture and delivery leadership role responsible for end-to-end ownership of complex, enterprise-scale solutions built across the full HPE technology stack. This role combines deep technical authority with delivery accountability—bridging Sales, Presales, and Professional Services to validate, shape, and execute integrated Hybrid Cloud, Private Cloud, AI, and HPC solutions. The role acts as the final technical authority during early-stage engagements to ensure solutions are realistic, deliverable, and aligned with customer outcomes, and subsequently leads execution across delivery teams to ensure successful implementation at scale.
Job Responsibility
Serve as the technical validation authority during early sales cycles
Lead technical governance from opportunity qualification through delivery execution
Own solution integrity across the lifecycle—design, validation, implementation, and optimization
Architect and oversee end-to-end hybrid and private cloud solutions
Drive adoption of cloud-native, automated, and scalable architectures
Lead delivery teams across complex engagements
Act as the lead design authority ensuring delivery success for AI infrastructure and HPC deployments, Containerized platforms and cloud-native environments, Enterprise hybrid cloud transformations
Provide hands-on guidance during critical phases (design reviews, PoCs, escalations)
Lead technical due diligence during RFP/RFI responses, Solution workshops and discovery sessions, Proof-of-concept engagements
Translate business requirements into deliverable, production-ready architectures
Act as a trusted advisor to enterprise customers and internal stakeholders
Bridge gaps between Sales / Presales / Delivery / Engineering and Business and technical teams
Provide executive-level communication on Solution strategy, Risks and trade-offs, Delivery readiness and outcomes
Facilitate clear, timely, and transparent communication among program stakeholders
Develop and execute a comprehensive communication plan
Provide clear direction for delivery consultants on technical challenges and blockers
Provide regular updates to senior management and governance bodies
Drive adoption of AI/ML platforms and MLOps pipelines, Cloud-native architectures and DevOps/DevSecOps practices, Infrastructure as Code and automation frameworks
Continuously evaluate emerging technologies across AI, HPC, Kubernetes, hybrid cloud, and security domains
Contribute to reusable architectures, reference designs, and best practices
Requirements
12–15+ years in enterprise IT, with strong focus on: Solution architecture and delivery leadership
Hybrid cloud, AI/HPC, and infrastructure platforms
Proven background in professional services / delivery-led roles, not purely presales
Demonstrated experience leading large-scale, multi-technology programs end-to-end
Strong consulting mindset with excellent stakeholder and executive communication skills
Deep expertise in enterprise private cloud platforms and hybrid architectures
Strong understanding of workload migration, interoperability, and governance
AI platform design (GPU-based infrastructure, NVIDIA ecosystem)