AI Engineer

New Today

Description: • Develop end-to-end Generative AI solutions, from data ingestion to production deployment, with a focus on mortgage industry applications. • Fine-tune, evaluate, and optimize large language models (LLMs) for use cases such as automated document classification, loan condition generation, and borrower communication support. • Integrate AI into enterprise workflows to automate routine tasks, enhance underwriting decision support, and improve broker and borrower engagement. • Design and implement RAG pipelines using vector databases to power intelligent knowledge search for guidelines, pricing, and compliance references. • Leverage Azure AI Foundry, AI Services, Model Catalog, Agents, Guardrails, and App Services to deliver secure, scalable AI tools for lending operations. • Apply emerging AI research and tools where they create measurable value in loan processing, compliance monitoring, and risk assessment. • Ensure AI solutions align with MLOps best practices, emphasizing scalability, maintainability, and regulatory compliance. • Collaborate with Operations, Compliance, and IT teams to identify automation opportunities and drive AI adoption across the organization. • Develop, document, and refine prompt engineering strategies and multi-agent system workflows for mortgage-specific applications. • Maintain strict adherence to industry regulations, security protocols, and data governance requirements. Requirements: • Ability to independently execute the complete AI solution development lifecycle. • Hands-on experience with large language models (preferably Azure OpenAI) and frameworks such as LangChain or Semantic Kernel. • Practical expertise with Azure AI Foundry, AI Services, Model Catalog, Agents, Guardrails, and App Services. • Strong Python programming skills and familiarity with machine learning engineering best practices. • Proven track record of transitioning AI solutions from prototype to production in enterprise environments. • Experience with vector databases and RAG architectures. • Cloud AI expertise (Azure or AWS) with a strong understanding of infrastructure and deployment strategies. • Familiarity with prompt engineering, multi-agent systems, and advanced LLM orchestration. • Understanding of MLOps, AI security, and compliance in regulated industries; mortgage or financial services industry experience is a plus.
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Location:
Gilbert
Category:
Engineering

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