Job
Description
Description experience in AI architecture and machine learning solution design, with a strong focus on Generative AI applications. Experience designing and deploying AI models using Azure cloud services and frameworks like LangChain and OpenAI. Strong understanding of Natural Language Processing (NLP) and Generative AI principles. Lead the design and architecture of Generative AI solutions, ensuring they meet business needs, scalability, and security requirements. Design systems leveraging LangChain, OpenAI models, and Azure Cognitive Services to integrate AI into enterprise workflows. Build end-to-end AI solutions, including data processing, model development, deployment, and monitoring. Ensure that AI systems are built for performance, scalability, security, and fault tolerance. Integrate Generative AI models with various enterprise systems (ERP, CRM, etc.) using Azure services such as Azure Functions, Azure Logic Apps, and Azure Cognitive Search. Design solutions that can dynamically query and fetch data from enterprise systems to generate insights, reports, and responses. Build and optimize custom models, ensuring high-quality outputs and robust performance. Work closely with data engineers, data scientists, and product teams to gather requirements and ensure successful implementation of AI models. Provide technical leadership, mentorship, and support to junior team members. Deploy and manage Generative AI solutions in Azure cloud environments, utilizing services such as Azure Machine Learning, Azure Databricks, and Azure AI services. Optimize AI workloads to ensure they are cost-effective, performant, and scalable. Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade D Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility No Global Role Family To be defined Local Role Name To be defined Local Skills generative AI;Azure AI & machine learning Languages RequiredENGLISH Role Rarity To Be Defined
