Senior Presales Consultant - Compute & AI Infrastructure

Job Purpose: The Senior Presales Consultant - Compute & AI Infrastructure is responsible for technical solutioning across compute, storage, virtualization, backup, AI infrastructure, on-prem GPU platforms, GPU-as-a-service or leased GPU models, AI networking, and orchestration layers. The role gathers and prioritizes customer and product requirements, defines fit-for-purpose architectures, and aligns company capabilities, products, and services with client business needs. The position also supports enterprise AI adoption by partnering with architecture, data science, DevSecOps, and business teams to operationalize AI use cases with appropriate performance, governance, observability, and compliance. Qualification: Engineering degree or equivalent. Certifications: - HPE MASE preferred. - AI certification preferred. - Server and storage certification preferred. - Backup solution certification preferred, such as Commvault, Cohesity, or Veeam. - Cloud technology certifications are an added advantage. Experience: Minimum 10 to 15 years of experience in large system integration, with strong exposure to enterprise infrastructure and presales consulting. Key Responsibilities: - Work closely with the sales team to provide end-to-end presales and product support that helps achieve sales targets. - Illustrate the value of the company's solutions to prospects in a compelling and consultative manner. - Align company capabilities, products, and services with customer business and technical requirements through a professional and ethical business approach. - Participate in RFI and RFP responses, bid coordination, prospect qualification, discovery workshops, requirements gathering, technical discussions, demonstrations, and solution proposal development. - Promote and support sales opportunities within existing accounts and help customers succeed in meeting their business objectives. - Lead or support proof-of-concept activities to assist the sales team in closing opportunities. - Conduct discovery workshops to identify infrastructure, AI use cases, data readiness, and platform requirements. - Design reference architectures for compute and AI workloads, including virtualization, backup, ML, LLM, RAG, predictive analytics, GPU platforms, and related networking and orchestration layers. - Explain infrastructure architectures, data models, MLOps workflows, AI lifecycle management, and solution trade-offs to both technical and business stakeholders. - Stay current with technology trends in compute, AI/ML platforms, GPU acceleration, vector databases, model optimization, backup, virtualization, and hybrid cloud. - Work closely with marketing, product management, and vendor teams to generate leads and new opportunities. - Provide product and solution training to internal sales teams. - Engage in commercial discussions with principals and support OEM/vendor coordination as required. - Maintain regular discussions with OEM presales and technical teams. - Liaise with distributors for product availability, pricing, and commercial support. - Help the sales team close deals on technical grounds whenever required. - Perform competitive analysis and support business development initiatives with vendor teams. - Manage OEM partnership certifications and track revenue thresholds associated with strategic vendors. Technology Scope: - Servers and compute platforms. - Enterprise storage and backup solutions. - Virtualization platforms. - AI infrastructure, including on-prem GPU environments and leased GPU models. - AI networking and orchestration layers. - OEM ecosystems such as HPE, Dell EMC, Nutanix, VMware, Commvault, Cohesity, and related infrastructure partners. Technical Skills and Competencies: Mandatory: - Strong understanding of compute, storage, backup, virtualization, and infrastructure solution design. - Strong understanding of AI technologies, AI/ML platforms, and enterprise AI use cases across industries. - Analytical skills and strong product knowledge. - Domain knowledge and consultative selling capability. - Ability to use OEM configuration and sizing tools from vendors such as HPE, Dell, and Nutanix. - Relevant OEM certifications across server, storage, backup, or AI solutions. Soft Skills: Mandatory: - Good communication skills. - Strong presentation and customer-facing skills. - Ability to communicate effectively with technical, commercial, and executive stakeholders.