AI Engineer
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The role
Design, develop, and deploy AI solutions on Azure AI services with a focus on generative AI, large language models (LLMs), and retrieval-augmented generation (RAG) architectures.
Lead client-facing AI projects in a consulting context, ensuring scalable, secure, and value-driven outcomes aligned with client objectives.
Develop NLP models and workflows using LangChain, Semantic Kernel, and LlamaIndex, with rigorous model validation and bias mitigation.
Implement RAG-enabled architectures using Azure Cognitive Search to enhance accuracy and performance of generative applications.
Apply MLOps practices for model lifecycle management, data processing pipelines, and responsible AI considerations.
Travel up to 25%, deliver technical presentations and demos, and collaborate with cross-functional teams to drive adoption.
Lead client-facing AI projects in a consulting context, ensuring scalable, secure, and value-driven outcomes aligned with client objectives.
Develop NLP models and workflows using LangChain, Semantic Kernel, and LlamaIndex, with rigorous model validation and bias mitigation.
Implement RAG-enabled architectures using Azure Cognitive Search to enhance accuracy and performance of generative applications.
Apply MLOps practices for model lifecycle management, data processing pipelines, and responsible AI considerations.
Travel up to 25%, deliver technical presentations and demos, and collaborate with cross-functional teams to drive adoption.
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