Cloud AI Solutions Engineer - Remote

About this role

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Title: Cloud AI Solutions Engineer - Remote


Mandatory skills:


AI development, cloud computing, software engineering,


Large Language Models, LLMs, Retrieval-Augmented Generation, RAG,


cloud platforms, Google Cloud, Vertex AI, Microsoft Azure, AWS, Oracle OCI,


containerization, Docker, orchestration, Kubernetes, scaling AI applications,


Python, AI frameworks, TensorFlow, PyTorch, LangChain,


microservices architecture, web services, API development, AI system integration,


vector databases, implementing ETL processes, AI training data, technical backend issues,


Enterprise Generative AI, technical advancement, high-performance AI solutions, Infrastructure as Code, IaC, CI/CD pipelines, AI deployments


Description:


The Cloud AI Solutions Engineer will report to the Manager of Enterprise Generative AI in the Business Partnerships and Innovation Department within ITS. They will play a pivotal role in the technical advancement and implementation of high-performance AI solutions across major cloud platforms (e.g., Google Cloud/Vertex AI, Microsoft Azure AI, AWS, Oracle Cloud/OCI).


This role is strictly technical and focuses on the backend architecture, coding, and deployment of sophisticated AI models. The Engineer is responsible for the technical realization of major projects like skAI and client ASSIST, ensuring they are scalable, secure, and integrated with district legacy systems. They will work in constant, close-knit collaboration with the Enterprise AI Design Specialist (who provides the user-facing logic and UI/UX requirements) and the


Enterprise AI Program Specialist (who manages the operational rollout and stakeholder training) to deliver holistic, enterprise-grade AI products.


Principal Accountabilities:


Technic...