Presales Architect - Private Cloud AI Job at Hewlett Packard Enterprise (Las Rozas, Madrid)

Presales Architect Latam - Private Cloud AI

Presales Architect role focused on HPE Private Cloud for Artificial Intelligence...

Location

Mexico , Mexico City

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

First-level university technical degree or equivalent technical qualifications
4–8 years of technical experience in IT with focus on technical consulting and solution selling
Hands-on proficiency in Python
Deep knowledge of Spark
Experience with big data orchestration tools like Presto or Kubeflow
Knowledge of high-value AI platforms including Nvidia AI Enterprise software, GenAI, and Llama models
Experience participating in solution configurations and creation of demos and proofs-of-concept
Working knowledge with as-a-service (aaS) business model
Written and verbal communication skills in English and Spanish
Business and financial acumen

Job Responsibility

Architect solutions to achieve customer business outcomes
Develop and articulate compelling proposals
Provide technical expertise to sales teams and customers
Track industry trends and emerging technologies
Design and deliver solutions aligned to customer's business requirements
Participate in deep-dive discussions and articulate value proposition
Collaborate with account team leadership to develop key value propositions
Map the right partner to opportunities
Proactively build pipeline by identifying opportunities
Document ongoing work throughout sales cycle

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Hpe Private Cloud Ai Solution Architect - Expert(e) Avant Vente H/F

HPE Private Cloud AI Solution Architect - Expert(e) Avant Vente H/F This ro...

Location

France , Puteaux

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

First-level university technical degree or equivalent technical qualifications. Advanced degree in technology preferred.
8–12 years of technical experience in IT with a focus on technical consulting and solution selling
Knowledge-based as well as 1+ experienced-based relevant industry certifications very strongly preferred.
Enterprise architecture frameworks and project management methodologies and certifications are helpful, but not required.
Advanced experience participating in and leading solution configurations and the creation of demos and proofs-of-concept (POC) to meet customer requirements.
Advanced understanding of the company portfolio of products, software, services, solution domain specialization, adjacent solution domain(s), and how they can be combined to address customer needs.
Advanced ability to translate aaS and complete ecosystem, differentiated value, solutions, and workloads and ability to prioritize aaS offerings and consumption models that will achieve the customer’s outcomes and greatest return.
Advanced understanding of aaS business model variations.
Advanced ability to collaborate cross-functionally to ensure consistency of output and meet aaS strategic goals.
Advanced written and verbal communication skills, including active listening and storytelling, and the ability to communicate in English and applicable local languages as needed to perform job requirements.

Job Responsibility

Demonstrates in-depth knowledge in one or more solution domains, company products, services, and solutions as well as the customer’s technical and business environment.
Develops compelling customer proposals and critically reviews them, manages the expectations of internal stakeholders and customers, ensuring the meeting of customer’s business and technical requirements are met.
Quantifies the impact of the business problem(s), positions business value, identifies the strengths and weaknesses of the overall proposed solution to achieve long-term business objectives.
Provides input to all global business units to address IT trends, requirements, gaps, or unmet needs.
Translates outcome-based solutions into a functional solution design that aligns to the customers business needs, and then translates that functional design into a technical design and architecture that can be scaled to accommodate growth.
Communicates how the solution value propositions addresses customer business needs.
Tracks leading-edge and emerging technologies.
Contributes to industry development for one or more domains through conferences (content support/presentations, demos, booth support) and industry events, while also monitoring social media.
Incorporates an understanding of technology trends within the IT industry, as well as the customer’s industry.
Actively gathers and applies competitive intelligence as a critical component of account support.

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Global Lead Architect – Hybrid Cloud, AI & HPE Platform Delivery

A highly senior, customer-facing architecture and delivery leadership role respo...

Location

Bulgaria , Sofia

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

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)
HPC cluster architecture, workload schedulers (Slurm, PBS Pro), and performance tuning
Kubernetes ecosystems (OpenShift, Rancher, CNCF stack)

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

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Principal AI Infrastructure Architect

The Senior Principal AI Infrastructure Architect is a highly skilled and advance...

Location

Italy , Milano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Significant experience in a consulting, presales or architecture role within a large-scale (preferably multi-national) technology services environment, with a track record of leading AI infrastructure pursuits
Demonstrable experience designing and delivering production AI platforms — from single multi-GPU servers through to multi-rack training clusters and inference factories
Strong working knowledge of the AI hardware vendor landscape (NVIDIA, AMD, Intel, Dell, HPE, Lenovo, Supermicro, Cisco, Pure, VAST, WEKA, DDN, NetApp) and how to position partner ecosystems competitively
Proven ability to translate AI workload requirements (model size, parameter count, sequence length, throughput SLOs, latency targets) into accurate hardware bills of materials and sizing justifications
Significant client engagement and consulting experience, including client needs assessment, change management and the ability to identify whitespace for follow-on AI infrastructure and managed-services work
Significant business development and presales experience on infrastructure-led deals, ideally including sovereign AI, AI Factory or regulated-industry GenAI programmes
Strong understanding of how AI infrastructure integrates with business processes, applications, data platforms and existing enterprise architecture
Bachelor's degree or equivalent in Information Technology, Engineering, Computer Science or a related field
Deep, hands-on knowledge of AI hardware: GPU and accelerator portfolios (NVIDIA Hopper / Blackwell, AMD MI300/MI325, Intel Gaudi 3, emerging custom silicon), host CPU platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), system topologies (HGX, DGX, MGX, OAM) and how each choice maps to specific AI workloads
Strong understanding of AI-class storage: parallel filesystems, all-flash NVMe platforms, S3-class object stores, checkpoint and dataset pipelines and the I/O patterns of large-scale training and inference (VAST, WEKA, DDN EXAScaler, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)

Job Responsibility

Lead the end-to-end design of large, complex AI infrastructure solutions — covering accelerated compute (NVIDIA H100/H200/B200 and GB200 NVL72, AMD Instinct MI300X/MI325X, Intel Gaudi 3), CPU host platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), high-throughput storage tiers and lossless AI fabric — for enterprise, sovereign AI and AI Factory clients
Architect reference designs built on NVIDIA DGX/HGX SuperPOD, Dell AI Factory with NVIDIA, Cisco Nexus HyperFabric AI, HPE / Lenovo / Supermicro accelerated compute and equivalent platforms, balancing single-node performance with cluster-scale efficiency
Size and validate GPU clusters against real workloads — foundation-model pre-training, distributed fine-tuning, RAG, real-time and batch inference — using the right combination of NVLink/NVSwitch domains, InfiniBand NDR/XDR or Ultra Ethernet / NVIDIA Spectrum-X fabrics and tiered NVMe and parallel storage (VAST, WEKA, DDN, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)
Define the supporting datacenter design: high-density power (50–140 kW/rack), direct-to-chip and rear-door liquid cooling, structured cabling for AI fabrics and modular deployment models across on-prem, colo and sovereign-cloud footprints
Work closely with the sales team to drive the presales process for AI infrastructure pursuits — client discovery, technical workshops, proposal writing, executive presentations and bid defence
Translate clients' AI ambitions and business outcomes into a hardware and platform roadmap, positioning NTT DATA's end-to-end portfolio — silicon, systems, storage, fabric, MLOps stack and managed services — to land service-led AI solutions
Lead integration of compute, storage, networking, the AI software stack (CUDA, ROCm, Triton, NIM, NVIDIA AI Enterprise, Run:ai, Slurm, Kubernetes / Kubeflow) and managed-service operating models across multiple domains, delivery units and geographies
Build business cases, TCO and unit-economics models (cost per token, cost per training run, GPU-hour economics) and end-to-end transition roadmaps for cloud-to-private AI migrations and sovereign AI deployments
Define architectural principles for AI infrastructure — accelerator utilisation, data gravity, multi-tenancy, model lifecycle, energy efficiency — and apply them to influence architectural outcomes and governance
Develop As-Is, Vision, FMO and To-Be AI platform architectures, identify gaps and develop transition roadmaps

Fulltime

Pre-Sales Solutions Architect SME

The role of Senior Solutions Architect SME with Secret Clearance involves servin...

Location

United States , Herndon

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Active Secret Security Clearance
Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent combination of education and experience
Minimum 15 years of experience supporting US Federal Government Agencies solve critical IT solutions
Minimum 10 years of experience leading or contributing to end-to-end data or digital transformation projects that meet Federal compliance standards, including FedRAMP, FISMA, and security best practices
Minimum 8 years of experience shaping, large professional services deals in excess of $100 million
Minimum 5 years in solutions architecture, technical presales, or consulting roles
Minimum 5 years leading senior customer discussions and managing executive stakeholders
Minimum 3 years of experience delivering presentations and technical demonstrations
Minimum 2 years of experience using AI technologies, such as Large Language Models, machine learning, or AI-driven automation
Must live within 30 miles of our offices in Herndon, Virginia

Job Responsibility

Serve as a trusted advisor to clients, establishing and nurturing long-term strategic partnerships through continuous engagement
Engage with C-suite and senior leadership, gaining deep understanding of client industry dynamics, data challenges, and mission objectives
Oversee the end-to-end delivery of complex engagements, ensuring successful outcomes across technology, financials, and operations
Lead presales strategy, solution development, and digital transformation initiatives for large, complex opportunities
Collaborate closely with sales teams to understand client requirements and design tailored, value-driven solutions
Lead discovery workshops, technical demonstrations, and proof-of-concept initiatives
Shape and structure deals, including staffing, pricing models, cost structures, and delivery approaches
Create and deliver compelling solution presentations and executive briefings
Develop content for RFPs and technical inquiries with accurate, compliant, and persuasive solution narratives
Support smooth handoffs from presales to delivery teams

Senior Data Engineer

At ANS, the Senior Data Engineer plays a key role in delivering robust, scalable...

Location

United Kingdom , Manchester

Salary:

Not provided

ANS Group

Expiration Date

Until further notice

Requirements

Experience in building and optimising pipelines in Azure Data Factory, Synapse, or Fabric
Strong knowledge of Python and SQL
Experience in using metadata frameworks in data engineering
Experience in best practice data engineering principles including CI/CD via Azure DevOps or Github
Understanding of Azure networking and security in relation to the data platform
Experience of data governance and regulation, including GDPR, principle of least privilege, classification etc.
Experience of lakehouse architecture, data warehousing principles, and data modelling
Familiarity with Microsoft Purview in a data platform context
Base knowledge of Azure foundry

Job Responsibility

Build and optimise data pipelines, notebooks, and data flows in Microsoft Fabric and Synapse Analytics, connecting to a variety of on-premises and cloud based data sources
Support Data Architects and Cloud Engineers by implementing solutions based on provided designs and offering feedback where needed
Collaborate across disciplines to ensure high-quality delivery of data solutions, including working with presales, managed services, and customer teams
Mentor Data engineers and support their development through guidance and task distribution
Ensure best practice adherence in engineering processes, including CI/CD via Azure DevOps and secure data handling (e.g. Key vault, private endpoints)
Contribute to Agile delivery by participating in standups, user story creation, and sprint planning
Document implemented solutions clearly and accurately for internal and customer use
Troubleshoot and resolve issues across subscriptions and environments
Work closely with the Project Manager (where applicable) to align on delivery timelines, report progress, and manage risks, while also acting as a key point of contact for customer SMEs and engineers to support collaboration and clarify technical requirements
Engage in continuous learning through certifications (e.g. DP-600 and/or DP700, AI-900, AI102, etc.) and development days

What we offer

Hybrid/ Remote Working
Private Medical Care
Pension Scheme
25 days’ holiday, plus you can buy up to 5 more days
Birthday off
Extra celebration day
5 days’ additional holiday in the year you get married
5 volunteer days
Private health insurance
Pension contribution match and 4 x life assurance

Fulltime

Senior Data Engineer

At ANS, the Senior Data Engineer plays a key role in delivering robust, scalable...

Location

United Kingdom , Manchester

Salary:

Not provided

ANS Group

Expiration Date

Until further notice

Requirements

Experience in building and optimising pipelines in Azure Data Factory, Synapse, or Fabric
Strong knowledge of Python and SQL
Experience in using metadata frameworks in data engineering
Experience in best practice data engineering principles including CI/CD via Azure DevOps or Github
Understanding of Azure networking and security in relation to the data platform
Experience of data governance and regulation, including GDPR, principle of least privilege, classification etc.
Experience of lakehouse architecture, data warehousing principles, and data modelling
Familiarity with Microsoft Purview in a data platform context
Base knowledge of Azure foundry

Job Responsibility

Build and optimise data pipelines, notebooks, and data flows in Microsoft Fabric and Synapse Analytics, connecting to a variety of on-premises and cloud based data sources
Support Data Architects and Cloud Engineers by implementing solutions based on provided designs and offering feedback where needed
Collaborate across disciplines to ensure high-quality delivery of data solutions, including working with presales, managed services, and customer teams
Mentor Data engineers and support their development through guidance and task distribution
Ensure best practice adherence in engineering processes, including CI/CD via Azure DevOps and secure data handling (e.g. Key vault, private endpoints)
Contribute to Agile delivery by participating in standups, user story creation, and sprint planning
Document implemented solutions clearly and accurately for internal and customer use
Troubleshoot and resolve issues across subscriptions and environments
Work closely with the Project Manager (where applicable) to align on delivery timelines, report progress, and manage risks, while also acting as a key point of contact for customer SMEs and engineers to support collaboration and clarify technical requirements
Engage in continuous learning through certifications (e.g. DP-600 and/or DP700, AI-900, AI102, etc.) and development days

What we offer

25 days’ holiday, plus you can buy up to 5 more days
Birthday off
An extra celebration day
5 days’ additional holiday in the year you get married
5 volunteer days
Private health insurance
Pension contribution match and 4 x life assurance
Flexible working and work from anywhere for up to 30 days per year (some exceptions)
Maternity: 16 weeks’ full pay, Paternity: 3 weeks’ full pay, Adoption: 16 weeks’ full pay
Company social events

Fulltime

New

IT Training Lead

The IT Training Lead will drive technology learning and user adoption across the...

Location

United States , Delray Beach

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience in IT training, instructional design, technical enablement, or learning and development
Strong knowledge of Microsoft 365
Excellent communication, facilitation, and content development skills
Ability to translate technical concepts into practical, user-friendly training.

Job Responsibility

Design, develop, and deliver IT training programs in instructor-led, virtual, and self-paced formats
Take lead in the Microsoft Copilot and AI training strategy, including onboarding, advanced use cases, responsible AI usage, and ongoing enablement
Partner with IT leadership to support new technology rollouts, system upgrades, and digital transformation initiatives
Create and maintain training content, including videos, guides, tutorials, and job aids
Identify skill gaps and develop targeted learning solutions to improve adoption and productivity
Gather feedback and measure training effectiveness to continuously improve programs.

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Presales Architect - Private Cloud AI

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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