Cloud & AI Apps Architect - Digital Natives (EMEA) at Microsoft

Paris, Ile-de-France, France -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Architecture, AI Solutions, SaaS Development, Azure PaaS, DevOps, Technical Workshops, Customer Engagement, Generative AI, Conversational AI, MLOps, Software Development, Technical Support, Network Operations, Systems Administration, Technology Consulting, Architecture

Industry

Software Development

Description

Lead customers through their AI and App Innovation journey on Azure, helping them architect well-structured, large-scale SaaS solutions that are resilient, secure, and optimized for performance and growth. Drive the adoption of generative and conversational AI by helping customers build innovative, safe, and production-ready AI solutions, grounded in solid engineering and cloud architecture principles. Design modern, AI-enabled application architectures that integrate Azure PaaS services, serverless capabilities, and DevOps best practices, ensuring seamless alignment between business goals and technical execution. Partner with founders, CTOs, and technical teams to co-create AI solutions that combine intelligent automation, adaptive systems, and responsible AI principles to power next-generation applications. Lead Architectural Design Sessions and technical workshops to define implementation plans that align AI innovation with customer business priorities, building consensus and momentum toward production. Collaborate closely with other Cloud Solution Architects, Engineers, and Product teams to deliver end-to-end, enterprise-grade architectures aligned with the Azure Well-Architected Framework. Build trusted, long-term relationships with customer decision-makers, enabling them to become advocates of Azure AI and App Innovation within their organizations. Act as the Voice of the Customer, sharing feedback, insights, and best practices with Engineering and product groups to improve Azure's AI and application development capabilities. Troubleshoot and resolve technical challenges across AI, application, and infrastructure layers to unlock new opportunities for innovation and adoption. Continuously expand your expertise in Azure AI, Copilot, AKS, MLOps, and SaaS architecture patterns, while contributing to the broader technical community through events, workshops, and success stories. Proven years experience in technologies relevant to this role. Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND relevant 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. Fluency in French, either as a native speaker or at a professional proficiency level, is required Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND relevant 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, or related field AND Experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience. Experience working in a customer-facing role (e.g., internal and/or external). Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications). Experience working with startups and digital-native organizations.

Responsibilities

Lead customers through their AI and App Innovation journey on Azure, helping them architect large-scale SaaS solutions. Collaborate with technical teams to design AI-enabled application architectures and drive the adoption of innovative AI solutions.