Full-Time

Cloud Solution Architect

AI Apps

Microsoft

Microsoft

10,001+ employees

Develops software, OS, and cloud services

Compensation Overview

$86.1k - $169.8k/yr

No H1B Sponsorship

Remote in USA + 3 more

More locations: Dallas, TX, USA | Redmond, WA, USA | Atlanta, GA, USA

Remote

U.S. residency required; remote in the United States.

Bachelor's, Master's

Category
Sales & Solution Engineering (2)
,
Required Skills
Software Testing
Machine Learning
RAG
Observability
DevOps

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Requirements
  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 2+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting + OR equivalent experience
  • Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.
  • Ability to meet Microsoft, customer and / or government security screening requirements, including Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Responsibilities
  • Develop a deep understanding of customers’ business priorities, application landscape, and AI readiness, linking technology decisions to measurable outcomes.
  • Design and deliver AI application and Agent-based solutions that create tangible business value.
  • Drive scalable delivery through structured technical programme leadership, leveraging a factory-based approach to create visibility, demand, and execution consistency across regions.
  • Ensure solution excellence by delivering production-grade solution accelerators that meet requirements for performance, security, scalability, reliability, and reusability.
  • Capture and synthesise insights from customers and partners to continuously improve delivery patterns and solution quality.
  • Drive consumption and value realisation by identifying opportunities to expand customer adoption of AI applications and Agents across their estate.
  • Unblock complex customer challenges by applying deep technical expertise and leveraging best practices and reference architectures.
  • Build and scale reusable assets, patterns, and IP that accelerate delivery velocity, reduce time to production, and maximise customer value from AI investments.
  • Architect end-to-end AI solutions, translating business requirements into scalable architectures, guiding customers from ideation (POC/MVP) through to enterprise-grade production deployments.
  • Champion customer needs by providing structured feedback to Engineering, influencing platform capabilities, roadmap direction, and feature prioritisation—particularly across AI apps, agents, and model lifecycle.
  • Act as a technical thought leader in AI applications and Agentic systems, staying ahead of industry trends and advancing adoption of modern design patterns
  • Scale impact across the field by sharing expertise, contributing to reusable IP, and driving consistency in AI application and agent delivery approaches.
  • Continuously build and elevate technical capability across teams, enabling higher technical intensity and accelerating customer outcomes at scale.
  • The candidate should understand how software engineering is changing with AI agents and coding copilots. They should be credible in technical conversations about how AI changes the way applications are designed, built, tested, deployed, and operated.
  • Use GitHub Copilot, coding agents, and AI-assisted development workflows to accelerate prototyping, documentation, test creation, and code review.
  • Design agentic applications with clear roles, tools, memory, orchestration, guardrails, human-in-the-loop checkpoints, and failure handling.
  • Apply engineering discipline to AI systems: source control, CI/CD, test automation, model and prompt evaluation, telemetry, rollback, and secure deployment.
  • Understand patterns such as tool calling, MCP, RAG, multi-agent workflows, prompt and version management, model evaluation, and AI observability.
Desired Qualifications
  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 5+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting + OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 3+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting + OR equivalent experience
  • 2+ years experience working in a customer-facing role (e.g., internal and/or external).
  • 2+ years experience working on technical projects.
  • Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
  • Proficiency in modern programming languages such as Python, C#, JavaScript, or similar, in the context of building AI-powered applications.
  • Experience integrating AI solutions with broader Azure services (e.g., Azure Functions, AKS/Kubernetes, API Management, event-driven architectures).
  • Proven ability to design and communicate end-to-end AI application architectures, including system context, interaction flows, and multi-tier designs.
  • Solid understanding of LLM application patterns, including prompt design, grounding strategies, evaluation techniques, observability, and cost/performance optimisation.
  • Familiarity with enterprise considerations such as security, compliance, and scalable deployment of AI solutions.
  • Solid understanding of DevOps practices and CI/CD pipelines, with experience operationalising AI applications in production environments.
  • Familiarity with MLOps / LLMOps practices, including model lifecycle management, monitoring, and continuous improvement.
  • Understanding of Responsible AI principles, including safety, bias mitigation, governance, and ethical considerations in AI solution design.
  • Awareness of the broader AI ecosystem and competitive landscape, including platforms such as AWS and GCP, as well as relevant open-source frameworks and tools.

Microsoft develops software, devices, and cloud services. Windows is an operating system that runs on personal computers, Office provides productivity apps, and Azure offers cloud computing and developer tools. The company differentiates itself with a large, integrated ecosystem of software, devices, and services, plus long-standing partnerships with PC makers and a broad enterprise footprint. Its goal is to put a computer on every desk and in every home, and to extend that reach through cloud services, professional networking (LinkedIn), and gaming.

Company Size

10,001+

Company Stage

IPO

Headquarters

Redmond, Washington

Founded

1975

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Simplify Jobs

Simplify's Take

What believers are saying

  • Fiscal 2026 revenue reached $331.8 billion, up 18%, with strong operating leverage.
  • Azure crossed $100 billion annual revenue in fiscal 2026, while growing 43% year over year.
  • Microsoft 365 Copilot passed 30 million paid seats, proving enterprise willingness to pay.

What critics are saying

  • July 23, 2026 Azure maintenance bug broke Copilot, Teams, Graph, and Microsoft 365 globally.
  • July 6, 2026 Microsoft cut 4,800 jobs, including 3,200 Xbox roles, signaling internal strain.
  • OpenAI supplies roughly 70% of Microsoft AI revenue, creating concentration and dependency risk.

What makes Microsoft unique

  • July 29, 2026: Microsoft commercial backlog hit $678 billion, locking in future revenue.
  • Office, Windows, and Azure create unmatched distribution across work, devices, and cloud.
  • Microsoft Foundry and Copilot bundle models, apps, and commerce into one enterprise platform.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Professional Development Budget

Conference Attendance Budget

Flexible Work Hours

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

0%
Yahoo Finance
Aug 22nd, 2026
Wall Street demands proof AI spending pays off as tech firms commit over $700B

Investor sentiment around artificial intelligence is shifting towards demanding concrete returns rather than just ambitious spending promises. Tech companies plan to invest over $700 billion in AI this year, with expectations of further increases. Recent earnings revealed a clear divide. Microsoft, Amazon, and Palantir saw double-digit stock price jumps after demonstrating strong results. Microsoft maintained $19.9 billion in quarterly free cash flow despite heavy AI investments, whilst Amazon's cloud division posted its fastest growth in four years, with its AI business exceeding a $25 billion annual run rate. Meanwhile, Meta Platforms, Alphabet, and Tesla faced investor scepticism over their substantial AI expenditures without comparable proof of returns. The market has entered what analysts call the "show me" phase, where tangible financial results from AI investments now matter more than spending commitments alone.

Yahoo Finance
Aug 22nd, 2026
Microsoft's $678B backlog drives $590 price target with 22% upside

Microsoft reported a $678 billion commercial backlog and Azure surpassing $100 billion in annual revenue, growing 41%. The company posted fiscal 2026 revenue of $331 billion, up 18%, with Q4 non-GAAP EPS of $4.74 beating consensus by 11.81%. Microsoft 365 Copilot reached over 30 million paid seats, with net seat additions more than doubling quarter over quarter. Azure guidance implies approximately 45% constant-currency growth in Q1 FY27. However, full-year capital expenditure hit $115.95 billion, up 79.62%, while free cash flow fell to $66.99 billion, down 6.46%. The company's OpenAI investment resulted in $3.1 billion in Q1 FY26 losses. Shares are up 21.2% over the past month but roughly flat year to date. Analysts cite the recurring revenue backlog as a key differentiator in the AI market.

Yahoo Finance
Aug 21st, 2026
$7.6T AI spending gap risks Nvidia margins as Microsoft turns cheap inference into recurring revenue

Goldman Sachs estimates $7.6 trillion in cumulative AI capital spending from 2026 through 2031, whilst OpenAI and Anthropic generated combined annualised revenue exceeding $105 billion by August 2026. The industry must scale annual recurring revenue past $1 trillion by 2030 to avoid infrastructure write-downs on hardware with 3-to-5-year lifecycles. Nvidia faces exposure as its 74.9% quarterly gross margin depends on scarce GPU demand, whilst hyperscalers deploy internal chips like Google's TPUs and Amazon's Trainium. The shares traded at 25.64 times forward earnings as of 17 August. Microsoft's AI operations exceeded a $37 billion annual run rate in the March quarter, up 123% year-on-year. GPT-4-level inference costs have fallen 50-fold, potentially expanding market demand.

Yahoo Finance
Aug 21st, 2026
Microsoft launches agentic commerce playbook as AI agents set to capture 15-25% of US e-commerce by 2030

Microsoft Advertising released an agentic commerce blueprint on Friday to help businesses prepare for AI agents making purchases on behalf of consumers. The "Agentic Playbook" focuses on three priorities: ensuring brands get discovered by agents, making purchases seamless, and optimising performance. The blueprint outlines a 90-day implementation structure. The first 45 days focus on building foundations like preparing product feeds and ensuring smooth checkout. The second 45 days concentrate on content optimisation. Bain & Company estimates agentic commerce will account for 15% to 25% of the US e-commerce market by 2030. Microsoft Copilot operates on the Universal Commerce Protocol, connecting it with retailers including Target and Ulta Beauty. On Thursday, Microsoft rolled out AI Max to all accounts, offering features like search term matching and dynamic URL routing for advertising campaigns.

Yahoo Finance
Aug 20th, 2026
ChronoScale secures two-year Microsoft deal for 50 MW AI compute deployment

ChronoScale has entered a two-year strategic partnership with Microsoft to deploy approximately 50 MW of AI compute capacity, the company disclosed in its annual report filed Wednesday. The project will use NVIDIA GB300 systems with advanced liquid cooling for high-density AI workloads, with completion targeted for the first quarter of 2027. The deployment remains subject to financing and meeting various development milestones. ChronoScale reported $9.7 million in cash and a $42.6 million working-capital deficit as of 31 May. The company has access to a $100 million promissory note from parent firm Applied Digital, with $93 million undrawn. ChronoScale reported fiscal 2026 revenue of $71.6 million, down 15% year-on-year, primarily due to a customer loss in December 2024. Operating loss narrowed to $37.5 million from $55.3 million.