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Senior principal AI role with niche LLM and graph requirements limits applicants, but fintech backing and AI demand raise competition.
Heavy ML/LLM, graph DB, MLOps, and regulated mortgage domain expertise limit cross-industry transferability.
Mandatory 10+ years plus explicit LLM, Kafka, Neo4j, cloud security, and MLOps requirements create strict candidate filtering.
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Own and drive the AI/ML technical roadmap and architecture for the Dara Mortgage Servicing platform, focusing on LLM orchestration, Retrieval-Augmented Generation, and document intelligence.
Lead hands-on development of core AI services with Python and TypeScript and implement Human-in-the-Loop workflows and AI quality assurance mechanisms.
Collaborate with business and technical stakeholders to design scalable AI solutions, set technical standards, and present architectural strategies to executives.
10+ years of software engineering and solution architecture experience with AI/ML platforms and enterprise applications.
Deep expertise in Large Language Models (e.g., Claude Sonnet, GPT-4, Gemini) and implementing Retrieval-Augmented Generation (RAG) solutions.
Strong programming skills in Python, TypeScript/Node.js, SQL, and experience with Apache Kafka, Neo4j graph databases, and Azure APIM security.
Experience with cloud AI platforms such as GCP Vertex AI and familiarity with mortgage servicing or regulated financial services environments preferred.
Senior technical leader capable of defining AI architecture and driving cross-team technical direction in a complex mortgage servicing platform.
Deep domain expertise in AI workflows, RAG, graph-based document intelligence, and event-driven architectures aligned to financial services use cases.
Proven ability to lead hands-on development, mentor engineers, and collaborate directly with business stakeholders to translate requirements into scalable AI solutions.