AI Architect/Developer
Job Description
We are seeking a highly motivated, passionate, and customer centric Senior AI Architect 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.
Locations
- Multiple Locations, Multiple Locations, India, Multiple Locations, Multiple Locations, India
- Beijing, Beijing, China, Beijing, Beijing, China
- Shanghai, Shanghai, China, Shanghai, Shanghai, China
Salary
Salary not disclosed
Required Qualifications
- Master’s degree (or higher), preferably with a specialization in Machine Learning, Data Science, or AI. (degree)
- Minimum 10+ years as a technical solution architect or consultant with proven expertise in AI/ML development. (degree)
- Mandatory hands-on experience in Python development, with extensive practical experience building and deploying production-grade AI solutions. (degree)
- Proven track record of successful delivery of cloud-native AI projects, ideally on the Azure platform. (degree)
- Demonstrated expertise in deep-learning and Agentic AI frameworks (Semantic Kernel, LangChain, LangGraph etc.) and model optimization. (degree)
- Additional, hands-on software development experience in JavaScript and/or .NET, providing full-stack solution design capability. (degree)
- Deep understanding and practical experience with Azure OpenAI (e.g., ChatGPT, DALL·E 2), Azure ML, and AI Agent development frameworks. (degree)
- Expertise in implementing automated deployments using Azure DevOps, GitHub (CI/CD pipelines) and comprehensive understanding of MLOps practices. (degree)
- Excellent communication skills (written and verbal) with the ability to articulate complex technical solutions clearly to diverse audiences, including senior executives. (degree)
- Strong analytical and problem-solving skills, with a passion for customer empathy and user-centric solution design. (degree)
Preferred Qualifications
- Additional, hands-on software development experience in JavaScript and/or .NET, providing full-stack solution design capability. (degree)
- Deep understanding and practical experience with Azure OpenAI (e.g., ChatGPT, DALL·E 2), Azure ML, and AI Agent development frameworks. (degree)
- Expertise in implementing automated deployments using Azure DevOps, GitHub (CI/CD pipelines) and comprehensive understanding of MLOps practices. (degree)
- Excellent communication skills (written and verbal) with the ability to articulate complex technical solutions clearly to diverse audiences, including senior executives. (degree)
- Strong analytical and problem-solving skills, with a passion for customer empathy and user-centric solution design. (degree)
Responsibilities
- Lead hands-on design and development efforts primarily using Python, 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.
Travel Requirements
3 days / week in-office
