Need 10+
● Technical Architecture & Backend Development: Design, develop, and deploy sophisticated AI models and applications, focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures.
● Cloud Infrastructure Management: Manage and optimize AI workloads across diverse cloud environments including Vertex AI, Azure AI, AWS, and OCI.
● System Integration: Develop secure APIs and microservices to integrate AI capabilitiesinto existing district platforms such as Student Information Systems (SIS) and Learning Management Systems (LMS).
● Collaborative Implementation: Partner daily with the Enterprise AI Design Specialist to translate human-centered design prototypes into functional technical builds for skAI and CPS ASSIST.
● Operational Alignment: Coordinate with the Enterprise AI Program Specialist to ensure technical features align with the AI University roadmap and district-wide training capacities.
● Data Engineering for AI: Implement efficient data retrieval mechanisms, manage vector databases, and maintain knowledge graphs to support AI accuracy and performance.
● Security & Scalability: Utilize Infrastructure as Code (IaC) and CI/CD pipelines to ensure AI deployments are automated, reproducible, and strictly follow district security and privacy standards.
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