How to apply? please, attach your English resume to your application.

*English and Spanish fluent. 100% onsite job (Santa Fe).

Requirements: Bachelor’s degree in Computer Science, Information Technology, Electrical/Electronic Engineering or a related technical discipline. 8+ years of experience in enterprise infrastructure, cloud, data-center solutions, solution architecture, pre-sales or technical solution sales; at least 5 years in a customer-facing role in the assigned local market. Demonstrated experience selling or designing AI computing , accelerated computing, HPC or large-scale server/platform solutions for government or large enterprise customers. Strong understanding of enterprise server platforms, CPU architectures (including x86 and ARM), AI accelerators/GPUs/NPUs, cluster design, storage and data-center networking. Working knowledge of AI workload fundamentals, including training vs. inference, distributed computing, model deployment, performance bottlenecks and the mainstream AI software ecosystem. Deep model-development or data-science coding expertise is not required. Hands-on familiarity with Linux and cloud-native infrastructure, including RHEL or equivalent enterprise Linux, Kubernetes/Open Shift or comparable container platforms, and hybrid-cloud integration patterns. Proven ability to lead technical discovery, solution sizing, customer presentations, Po Cs, RFP/RFI responses, Bo M development and TCO/business-case discussions. Strong executive communication and stakeholder-management skills. Able to work with business leaders, procurement teams and technical specialists without losing technical depth or commercial focus. Ability to work independently across a multi-country organization and travel within the assigned country/LATAM when customer engagements require it.

Responsibilities Opportunity Development & Account Shaping :



Partner with account managers to build and qualify the AI computing pipeline. Identify customer priorities, use cases, stakeholders, decision criteria, budget and procurement path; convert early-stage needs into actionable opportunities and account plans. Customer Discovery & Solution Architecture : Lead technical and business discovery workshops. Translate AI training, inference, HPC and enterprise workloads into end-to-end architectures covering compute, accelerators, cluster topology, storage, networking, operating systems, containers and hybrid-cloud integration. Define sizing, capacity, availability, security and expansion assumptions. Technical Influence, Workshops & Po Cs : Present solutions to C-level executives, technical decision-makers and architecture teams. Build customer-specific demonstrations, Po C plans and benchmark criteria; coordinate resources, track results and close technical gaps. Explain trade-offs in a clear, commercially relevant way. Bid, Tender & Commercial Support : Own or contribute to RFI/RFP responses, solution blueprints, Bills of Materials (Bo M), compliance matrices, Statements of Work and TCO/business-case inputs. Support public tenders and enterprise procurement, address technical objections and help the sales team position a competitive, executable offer. Ecosystem & Competitive Strategy : Work with local system integrators, ISVs, cloud partners and data-center partners to complete the solution. Track competing AI and infrastructure platforms, customer incumbent environments and ecosystem dependencies; develop practical migration, interoperability and differentiation strategies. Deal Closure & Handover : Stay engaged through negotiation and closure to protect solution scope and feasibility. After award, hand over the agreed architecture, assumptions, commitments, risks and Po C findings to delivery and support teams, and maintain continuity with the customer. #J-18808-Ljbffr

📌 Senior ai computing solutions architect (México)
🏢 Beijing Foreign Enterprise Management Consultants Co.,Ltd
📍 México