{"id":1388145,"url":"https://alion.io/job/hewlett-packard-enterprise-ai-value-architect-private-cloud-ai","title":"AI Value Architect - Private Cloud AI","company":{"id":5292,"name":"Hewlett Packard Enterprise","domain":"hpe.com","url":"https://alion.io/company/hewlett-packard-enterprise","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":114,"ghost_share":0,"stale_share":0.956,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kuala Lumpur, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":91000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1192},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Helm","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Ray","optional":false}],"status":"live","first_seen_at":"2026-09-28T11:02:26Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-21T00:22:44Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"AI Value Architect - Private Cloud AIThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.Who We Are:\nHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.\nJob Description:\nAs an AI Value Architect for APAC, you will own the Day-2 value, adoption and expansion lifecycle for a portfolio of strategic HPE Private Cloud AI customers. You will act as a trusted technical advisor and AI value partner after initial deployment, helping customers turn early onboarding outcomes into broader internal adoption, stronger champions, clearer AI roadmaps and measurable business impact. You will combine deep technical credibility in enterprise AI and Generative AI with confident, commercial judgment: identifying where customers are stuck, what they need next, and where additional Private Cloud AI capacity, capabilities or services create the next step in their AI journey.\nYou will be Geo-aligned and customer-present while operating as part of a globally coordinated team. This is a customer-facing technical sales role, not a delivery or consulting role: you will help customers understand what is possible with Private Cloud AI, review progress against their roadmap, uncover blockers, identify new internal use cases and champions, and work closely with Sales, Pre-Sales, Forward Deployed Engineering, Product and Support to turn validated needs into clear next steps.\nWhat You’ll Do\nContinuous Value Creation\nOwn a portfolio of strategic Private Cloud AI customers beyond initial onboarding and drive continued internal adoption, value realization and expansion of Private Cloud AI across business units.\nDiscover and shape new AI, GenAI and agentic AI use cases across business units, moving customers from initial workloads to broader production adoption.\nProvide architecture guidance for new workloads across inference, RAG, AI agents, model serving, fine-tuning, data pipelines, observability, governance and security.\nEvangelize Private Cloud AI inside the customer organization by enabling technical and business champions, sharing relevant roadmap updates, and helping teams understand where Private Cloud AI can support their next AI initiatives.\nStructured Adoption Cadence\nEstablish a programmatic customer cadence with quarterly value, adoption and roadmap reviews involving customer stakeholders and relevant HPE account teams.\nRun outcome-focused business and technical reviews that ask practical adoption questions: what was achieved since onboarding, how much of the roadmap has progressed, where the customer is stuck, what blockers exist, and what technical or commercial actions are needed next.\nPlan and lead regular onsite engagements at strategic customers; travel frequently within APAC as a core part of the role and selectively worldwide.\nMaintain clear account plans, actions, risks, value hypotheses and expansion signals across the portfolio.\nExpansion & Proof\nIdentify, qualify and technically shape expansion opportunities by recognizing where customers need additional Private Cloud AI capacity, new capabilities, platform expansion or related services to execute their AI roadmap.\nRun targeted roadmap, architecture, scaling and adoption workshops when expansion triggers emerge, focused on clarifying the customer’s next AI priorities and required Private Cloud AI capabilities.\nBuild the technical and commercial value case for expansion, connect it to roadmap progress and measurable outcomes, and hand validated opportunities to Sales with clear scope, customer evidence and next-step recommendations.\nPartner with local Sales, Pre-Sales and Partners through opportunity progression while remaining a trusted technical and commercial advisor who is comfortable discussing investment needs, expansion options and customer outcomes.\nBuild the Global Playbook\nDesign customer workshops, discovery guides, assessment tools, reference architectures and proof patterns that can be reused across customer sites and GEOs.\nCreate the operating model, templates, metrics and governance for a new global AI value and expansion motion.\nCapture field learnings, customer roadmap signals, adoption blockers and expansion patterns, feed them back to Product and global teams, and continuously improve the playbook.\nOperate effectively in a build-from-scratch, startup-style environment with high ownership, ambiguity and pace.\nHow Success Will Be Measured\nExpansion creation: qualified, sales-accepted opportunities for additional Private Cloud AI systems and related services.\nProgram scale: reusable workshops, assets and operating practices adopted across the global team.\nCustomer trust: sustained executive and practitioner engagement with strategic accounts.\nCustomer value: additional use cases activated, stronger internal champions, measurable roadmap progress, broader adoption across business units, stronger customer self-sufficiency and increased platform utilization.\nWhat You Need to Bring\nTechnical & AI Expertise\nStrong hands-on knowledge of enterprise AI and GenAI architectures, including LLM inference, RAG, vector databases, AI agents, model endpoints, evaluation, guardrails and LLMOps/MLOps.\nFamiliarity and first experiences with agent harness such as OpenClaw, NemoClaw, Hermes and OpenCode.\nExperience designing or implementing production AI solutions using Python, Linux, containers, Kubernetes, Helm, APIs, identity and access controls, and object/file storage.\nKnowledge of data engineering and ML platforms such as Airflow, Kubeflow, MLflow, Ray, model serving frameworks and observability tooling.\nWorking knowledge around GPUs, Power Cooling and Networking.\nAbility to reason end-to-end - from customer outcome and data readiness through application architecture, platform sizing, security, operations and scale.\nExperience with NVIDIA AI Enterprise technologies, HPE Private Cloud AI, or comparable enterprise AI platforms is strongly preferred.\nCustomer & Commercial Skills\nDemonstrated success in a customer-facing technical sales or advisory role such as AI Solutions Architect, Value Architect, Pre-Sales Engineer, Forward Deployed Engineer, Customer Engineer or Field CTO-style role.\nAbility to translate complex AI technology into business value, facilitate workshops with technical and executive stakeholders, and influence without direct authority.\nStrong commercial curiosity and judgment: able to recognize expansion signals, ask direct investment-oriented questions, build a credible technical value case and collaborate with Sales without compromising trusted-advisor status.\nStrong program and account management skills across multiple strategic customers, with disciplined follow-through and concise executive communication.\nExcellent written and verbal communication skills in English; additional European languages are an advantage.\nWays of Working\nBuilder mentality: comfortable creating a new motion, assets and processes rather than inheriting a mature playbook.\nHigh ownership, bias for action and comfort operating in ambiguity.\nCollaborative and low ego, with the ability to work across GEO and global teams.\nWillingness and ability to travel frequently for onsite customer engagements across Central Europe, with occasional international travel.\nEducation and Experience:\nFirst-level university technical degree or equivalent technical qualifications. Advanced degree in technology preferred.\n3-8 years of technical experience in Private Cloud with some Gen AI experience.\nSelf-taught of Gen AI experience is welcomed.\nKnowledge-based and experienced-based relevant industry certifications are strongly preferred.\nAccessibility\nHPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.\nNote: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.\nWhat We Can Offer You:\nHealth & Wellbeing\nWe strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.\nPersonal & Professional Development\nWe also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.\nUnconditional Inclusion\nWe are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.\nLet's Stay Connected:\nFollow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.\n#malaysia#greenlakecloudplatform, #hybridcloudJob:\nSalesJob Level:\nTCP_03HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBTemployer. We do not discriminate on the basis of race, gender, or any other protected category,and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.\nHewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.\nHPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.\nRecruitment Fraud Alert\nWe have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.\nAll legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. 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