Senior AI Architect

We are seeking a highly motivated, passionate, and customer centric AI Architect/ Engineer to join the Office of the CTO. This is a hands-on, customer facing, technical role that requires deep expertise in AI and Machine Learning, specifically leveraging Python for end-to-end solution design, development, and deployment. Experience with JavaScript and/or .NET and Agent development frameworks like Semantic Kernel, LangChain, LangGraph is strongly preferred. You'll collaborate closely with enterprise customers to solve critical business challenges by leveraging Azure's cutting-edge AI capabilities, design and build AI solutions, implement robust data pipelines including Azure OpenAI, Azure ML, and other Large/Small Language Model (LLM/SLM) platforms. 

Our diverse, inclusive, and mission-driven team prioritizes innovation, collaboration, and continuous learning, focused on solving complex, real-world business challenges for enterprise customers.  

Basic Qualifications: 

• Bachelor’s degree (or higher), preferably with a specialization in Machine Learning, Data Science, or AI. 

• Minimum 5+ years as a technical solution architect or consultant with proven expertise in AI/ML development. 

• Mandatory hands-on experience in Python development, with extensive practical experience building and deploying production-grade AI solutions. 

• Proven track record of successful delivery of cloud-native AI projects, ideally on the Azure platform. 

• Demonstrated expertise in deep-learning and Agentic AI frameworks (Semantic Kernel, LangChain, LangGraph etc.) and model optimization. 
• Fluency in Japanese and English.

Preferred Qualifications: 

• Additional, hands-on software development experience in JavaScript and/or .NET, providing full-stack solution design capability. 

• Deep understanding and practical experience with Azure OpenAI (e.g., ChatGPT, DALL·E 2), Azure ML, and AI Agent development frameworks. 

• Expertise in implementing automated deployments using Azure DevOps, GitHub (CI/CD pipelines) and comprehensive understanding of MLOps practices. 

• Excellent communication skills (written and verbal) with the ability to articulate complex technical solutions clearly to diverse audiences, including senior executives. 

• Strong analytical and problem-solving skills, with a passion for customer empathy and user-centric solution design. 

Culture and Values: 

At Microsoft, our mission is to empower every individual and organization on the planet to achieve more. We embrace a growth mindset, champion innovation, and value collaboration. Respect, integrity, accountability, and inclusiveness are foundational to our culture, and we seek professionals who align with and further these core values. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Lead hands-on design and development efforts, building robust, scalable, and customer-focused AI/ML solutions. 

• Engage directly with key enterprise customers to strategize, architect and implement AI driven, Agentic AI solutions leveraging Azure AI services including Azure OpenAI, Azure ML. 

• Translate complex requirements into practical, well-architected technical solutions. 

• Develop end-to-end, rapid prototypes, involving data ingestion, validation, processing, and model deployment using Azure platform components. 

• Build, customize, and optimize AI models and related components for customer-specific use cases. 

• Integrate AI solutions with full-stack architectures, preferably leveraging experience with JavaScript frameworks (e.g., Node.js, React) and/or .NET ecosystems. 

• Establish and maintain robust CI/CD and ML Ops pipelines, leveraging Azure DevOps, Github for automated deployments. 

• Proactively explore diverse datasets to engineer novel features and signals that significantly enhance ML performance. 

• Participate actively in every phase of the model lifecycle from conceptualization, training, fine tuning, validation, and deployment, to continuous monitoring and improvement.