{"id":1282559,"url":"https://alion.io/job/pricewaterhousecoopers-solution-engineering-ai-prototyping-specialist","title":"Solution Engineering & AI Prototyping Specialist","company":{"id":5739,"name":"PwC","domain":"pwc.com","url":"https://alion.io/company/pwc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":69,"open_postings":2652,"ghost_share":0.51,"stale_share":0,"repost_share":0.001,"time_to_fill_p50_days":26,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, 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technical validation across Azure, data, AI and automation.\nWhat you will be doing\nPrototyping & demonstrations\nRapidly convert priority business use cases into demonstrations, proof-of-concept solutions and technical spikes.\nBuild clear, client-ready experiences that show workflows, data flows, controls and expected user interactions.\nPrepare demo environments, scripts and supporting materials for workshops, proposals and executive presentations.\nCapture reusable components, patterns and lessons learned.\nTechnical validation\nValidate APIs, data access, integration patterns, model behavior, deployment options and non-functional requirements.\nEstimate prototype effort and identify technical risks, constraints and prerequisites before larger mobilization.\nApply secure engineering practices, appropriate data handling and Responsible AI controls in prototype work.\nCollaborate with the Cloud Architect on architecture decisions and with the Data & AI Manager on use-case intent and evaluation.\nAdvisory support & capability building\nContribute practical technical input to assessments, roadmaps, proposals and delivery plans.\nCoach consultants on Microsoft demonstrations and support internal enablement sessions.\nMaintain awareness of relevant Microsoft platform developments and assess their applicability to client needs.\nWhat we need from you\n4+ years in cloud engineering, software development, data engineering, AI engineering or solution engineering.\nHands-on experience with Azure services, APIs, identity, DevOps, data pipelines and modern application patterns.\nPractical capability in Python or another modern language and experience building client-facing prototypes.\nStrong communication skills and the ability to explain technical behavior to non-technical audiences.\nComfort working in ambiguous, time-sensitive pursuit and discovery settings.\nPreferred qualifications\nAI-102, AZ-204, DP-600, DP-203 or PL-600 certifications are desirable.\nExperience with Azure OpenAI, Microsoft Fabric, Power Platform, GitHub or Azure DevOps is advantageous.\nProfessional-services or pre-sales experience is preferred.\nMeasures of success\nSpeed and quality of prototypes and demonstrations\nAccuracy of technical validation and risk identification\nReuse of accelerators and technical assets\nContribution to proposals, workshops and qualified opportunities\nAdherence to security, data-handling and Responsible AI expectations\nKey interfaces\nMicrosoft Cloud Architect and the other core team members\nPwC Advisory sector and functional leaders\nCybersecurity, risk, privacy, legal, tax, deals, change and delivery specialists\nMicrosoft alliance and partner ecosystem stakeholders\nClient executives, business owners, technology leaders and delivery teams\n#LI-BS1 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