Senior AI Architect

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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.

• 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.