{"id":1948948,"url":"https://alion.io/job/microsoft-digital-solution-engineer-2","title":"Digital Solution Engineer","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":83,"open_postings":419,"ghost_share":0.005,"stale_share":0.635,"repost_share":0.026,"time_to_fill_p50_days":29,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Databricks","optional":false},{"name":"GitHub","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"OpenAI","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"RAG","optional":false},{"name":"FinOps","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-01T18:53:41Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-11-04T19:32:18Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"OverviewWe are hiring a Solution Engineer (“SE”) to help support our fastest growing AI-centric startups and software development company customers to build, optimize, and scale on Microsoft Azure. This role focuses on helping earn customer trust in technical decisions by connecting our customers’ products and business outcomes to practical cloud, AI, data, and application architectures, then proving those architectures through demos, workshops, pilots, and production-readiness plans.\nThis requires work across account teams, specialists, partners, customer success teams, and engineering and product groups to unblock adoption, accelerate opportunities and turn customer ambition into measurable Azure usage, revenue, and long-term platform commitment. This role requires both technical depth and commercial judgement. The SE must influence and support senior technical leaders in our customer accounts to remove blockers, qualify technical risk, create repeatable patterns, and help progress opportunities across regions.\nResponsibilities\nOwnthetechnical strategy for assigned customersacross the customer adoption journey fromdiscovery through technicaltoclose, MVP, pilot,and production adoptionand scaling phases.\n\nLead architecture-led customer conversations across Azure AI, application innovation, data platforms, developer tools, cloud operations, governance, and securitytopics.\n\nDesign credible end-to-end solutions using servicesand technology including Azure AI Foundry, Azure OpenAI, AI agents, Azure Kubernetes Service, containers, serverless, APIs, Cosmos DB, Azure SQL, PostgreSQL, Microsoft Fabric, Azure Databricks, Power BI, and GitHub.\n\nDeliver demos, whiteboarding sessions, architecture workshops, proof of concepts,and technical validations that demonstrateclear business value anda sensiblepath to production for customers.\n\nTranslate customer product goals, business priorities,and technical complexity into decision criteria, success plans, implementationroadmaps,and measurable outcomes.\n\nIdentifyand remove technical blockers including architecture gaps, security concerns, capacityand quota constraints, migration risks, integration challenges,and operational readiness issues.\n\nPartner with account executives, specialists,and customer success teams to support pipeline creation, opportunity progression, technical win documentation, milestone hygiene,and forecast quality.\n\nDifferentiate Microsoft against competitors by positioning Azure as a trusted, secure, scalable,and integrated platform for AI-native software companies.\n\nCapture reusable patterns, lessons learned, field feedback,and customer insights so we can scale our business consistently across the globe.\nCustomer scenarios this role will support\nAI-native application development: agents, copilots, RAG, evaluation, model selection, observability, responsible AI, inference optimization,and productionAI operations.\n\nCloud-native platform scaling: high-growth infrastructure, reliability, performance, capacity, quota, networking, observability,and global scale.\n\nData-driven modernization: database migration, analytics modernization, AI-ready data foundations, governance, catalogingand data integration.\n\nSMBand software company growth: SaaS architecture, multi-tenant platforms, marketplace readiness, co-sell motions, developer productivity,and product-led growth.\n\nTechnical acceleration: workshops, hackathons, migration programs, partner-led scale motions,and repeatable deliveryplaybooks.\n\nQualifications\nExperience in technical pre-sales, solution engineering, cloud architecture, software engineering, technical consulting, or an equivalent customer-facing technical role.\n\nDemonstrated ability to influence technical and business stakeholders, including CTOs, founders, engineering leaders, architects, and product leaders.\n\nHands-on understanding of cloud architecture and modern application design, including security, reliability, scalability, integration, and operations.\n\nPractical experience with AI, data, analytics, application modernization or developer platform solutions on Azure or comparable cloud platforms.\n\nExperience creating demos, prototypes, POCs, pilots or MVPs that lead to technical decisions and production adoption.\n\nStrong communication, storytelling, and collaboration skills; ability to drive consensus without direct authority.\n\nBachelor’s degree in computer science, engineering, information technology, or a related field, or equivalent practical experience.\n\nPreferred qualifications\nDepth in one or more of: Azure AI Foundry, Azure OpenAI, agentic systems, RAG, Azure Kubernetes Service, containers, serverless, API platforms, Cosmos DB, Azure SQL, PostgreSQL, Microsoft Fabric, Azure Databricks, Power BI or GitHub.\n\nExperience working with startups, SMBs, SaaS, marketplace, venture-backed or product-led-growth customer scenarios.\n\nUnderstanding of AI governance, Responsible AI, security, compliance, model evaluation, observability, cost management, and FinOps.\n\nAbility to support technical sales motions across complex territories, multiple stakeholders, and fast-moving customer priorities.\n\nExperience with competitive positioning and objection handling in AI, cloud platform, data, or developer tool markets.\n\nSpoken and written Mandarin fluency is a nice-to-have but not strictly required.\n\nWhat good looks like\nCustomer obsessed: earns trust with senior technical leaders by combining curiosity, clarity, and practical technical depth.\n\nHands-on and credible: can whiteboard, demo, prototype, and pressure-test an architecture rather than simply presenting slides.\n\nCommercially aware: connects technical decisions to pipeline, consumption, revenue, growth, risk reduction, and customer outcomes.\n\nOperationally disciplined: maintains clear milestones, blockers, next steps, technical win evidence, and repeatable account motions.\n\nGlobally collaborative: works effectively across time zones, regions, partners, and internal specialist teams.\n\nComfortable with ambiguity: thrives in fast-moving environments where customer priorities, architectures, and business models evolve quickly.\n\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. 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