AI Cloud Solution Architect
- Location
- United States · On-site
- Level
- Lead / Staff
- Education
- Bachelor's degree
- Listed
- 28 days ago
Skills & highlights for this role
- AI agent development
- Large language models (LLMs)
- Cloud architecture on Azure
- Solution architecture design
- Customer-facing technical engagement
- IT consulting, support, or architecture experience
- Technical IP and reference architecture development
Also useful
- Azure AI Foundry
- GitHub
- AI governance
- Retrieval-Augmented Generation (RAG)
- Integration services
- Data services
- Technical workshop facilitation
- Mentoring and knowledge sharing
Overview
The mission of the Customer Success Unit (CSU) is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products, services, and partnerships.
Microsoft Customer & Partner Solutions accelerates customer outcomes and business growth.
By uniting product, engineering, marketing, sales, customer success, and partners around a common customer mission
, we help customers realize value faster and turn innovation into measurable business impact. Through deep technical expertise and differentiated go-to-market execution, we win competitively, capture market share, and scale repeatable growth motions. We differentiate through value creation - delivering world-class, AI-powered customer experiences that accelerate adoption, strengthen loyalty, and create sustainable competitive advantage, driving growth that outpaces the market.
We are looking for a Cloud Solution Architect (CSA) to help customers move AI applications and agents from experimentation to production on Azure. In this customer-facing role, you will lead technical engagements across architecture design, proof of concepts, pilots, and production.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Please note the location for this role is Paddington, London.
Responsibilities
Engage with customer IT and business leaders to understand their AI priorities, and design secure, scalable solutions that drive business value, customer confidence, and production adoption and identify next-best technical actions and new AI use cases from customer engagements, helping customers expand successful solutions and accelerate adoption.
Lead technical engagements across architecture design, proofs of concept, pilots, and production milestones to accelerate adoption of Azure AI Foundry, Agent Factory, Agent365, Microsoft IQs, LLMs GitHub, app platforms, RAG, integration services, and supporting data services, while maintaining deep technical expertise and contributing to internal and external technical communities.
- Drive next best actions and generate incremental pipeline from each engagement
- Use and contribute to repeatable IP development
- Act as the Voice of the Customer by sharing adoption issues, capacity constraints, product gaps, deployment blockers, platform readiness feedback, and preview limitations with engineering teams to accelerate resolution and improve product features.
- Support customer and partner skilling through technical workshops, readiness activities, and architecture reviews
- Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes.
Qualifications
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND strong experience in AI, GitHub, AI Governance, AI Agent development, agents, LLMs or related technologies, information technology (IT) consulting/support/architecture
- OR equivalent experience
- Proven and demonstrated experience working in a customer-facing role
- Experience developing and reusing technical IP, reference architectures, solution patterns and engineering assets to improve quality and accelerate delivery.
Pay and benefits
Cloud Solution Architecture IC4 - The typical base pay range for this role across United Kingdom is £ 61,900.00 - £ 105,500.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Equal opportunity and legal notices
Microsoft 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.
If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
From Microsoft's careers page, first listed on Rolev.ai on October 11, 2026. Rolev.ai is not the employer.
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Common questions
Where is the AI Cloud Solution Architect job at Microsoft located?
This AI Cloud Solution Architect position at Microsoft is located in United States (On-site). Always check Microsoft's application page for specific state eligibility or relocation policies.
What qualifications are required for AI Cloud Solution Architect at Microsoft?
For the AI Cloud Solution Architect role, Microsoft highlights a bachelor's degree; experience with AI agent development, Large language models (LLMs), Cloud architecture on Azure, Solution architecture design, Customer-facing technical engagement, IT consulting, support, or architecture experience. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the AI Cloud Solution Architect position at Microsoft?
This listing links directly to Microsoft's application page. You can apply directly on Microsoft's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.