Cloud Solution Architect- Cloud & AI Data

Job Overview With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world. Responsibilities Customer-Centric Approach: As a Client Facing Technical Lead plays a pivotal role in the AI Factory, providing technical enablement, operational support, and strategic engagement across customer projects. Understand customers’ overall data estate, business priorities, and IT success measures; innovate with AI solutions that drive business value. Program Management: Facilitate scalable delivery through strong technical program management utilizing a factory model, driving program awareness and demand across the regional operating units. Attend in-flight project status meetings to monitor progress and identify support needs. Solution Excellence: Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment. Gather insights from customers and partners. Language Skills: Fluent in Portuguese both speaking and writing for customer interactions. Also proficient in written and spoken English to communicate with extended internal teams. Business Impact: Drive consumption growth, operational awareness, unblock customer challenges, and identify repeatable IP that accelerates customer value. Architect AI Solutions: Design solutions aligned with business and IT needs; lead POCs and MVPs, ensuring long-term technical viability. Technical Leadership: Advocate for customers, resolve technical blockers, and continuously learn to stay updated on market trends. Accelerate Outcomes: Engage field teams, share expertise, drive factory pipeline, and promote factory to accelerate customer success. Qualifications Bachelor’s Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4 years experience in cloud/infrastructure technologies, information technology consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience. 8 years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting (or 6 years with a master’s degree) OR equivalent experience. 4 years experience working in a customer‑facing role and on technical projects. Technical Certification in Cloud (e.g., Azure, AWS, Google, security certifications). Programming Languages and Integration: Proficient with Python, C#, R, JavaScript, or similar programming languages and ability to integrate Azure AI with other services. Architecting Enterprise‑Grade Solutions: Proven experience building enterprise‑grade, AI‑focused solutions on the cloud for customers, from MVPs to production deployments. Infrastructure as Code (IaC) Deployment: Strong understanding of Bicep, Terraform, or Azure Resource Manager and familiarity with configuration and deployment of IaC templates in a secure environment. Core AI & ML Concepts: Familiarity with AI & ML foundational knowledge of concepts like Prompt Engineering, tools (Jupyter notebooks & VS Code). Agentic Workflows: Familiarity with Semantic Kernel, MCP, Langchain, or other agentic frameworks and ability to configure tools for dynamic execution by an LLM. Generative AI and Responsible AI: Knowledge of current and emerging AI technology, including Generative AI technology applications and use cases, and Foundational models toolsets. Understanding of Responsible AI practice including ethical considerations, bias mitigation, and fairness. Competitive Landscape: Understanding of the competitive landscape, knowledge of key AI platforms beyond Azure. Equal Opportunity Microsoft is an equal opportunity employer. Consistent with applicable law, 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, sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Benefits Flexible work arrangement: Up to 50% from home. J-18808-Ljbffr

Location: São Paulo, São Paulo, BR

Posted Date: 10/27/2025