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Senior, highly specialized Principal ML role with niche LLM, Neo4j and regulated-domain requirements reduces candidate competition.
Specialized ML platform, LLM orchestration and regulated mortgage servicing preference increases domain-specific fit sensitivity.
Extensive mandatory tech, architecture, and 10+ years experience plus regulated-domain preferences enforce strict candidate filters.
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Define and drive the AI/ML technical roadmap for the Dara MCP mortgage servicing platform.
Architect, develop, and maintain scalable AI solutions including LLM orchestration, RAG, document intelligence, and event-driven architectures using technologies like Python, TypeScript, Kafka, and Neo4j.
Lead technical leadership activities including mentoring engineers, conducting technology assessments, establishing standards, and collaborating with stakeholders including Mortgage Servicing SMEs.
10+ years of software engineering and solution architecture experience with significant AI/ML platforms exposure.
Expertise in Large Language Models (e.g., GPT-4, Claude Sonnet), Retrieval-Augmented Generation solutions, and document intelligence platforms.
Strong programming skills in Python and TypeScript along with experience in Kafka, Neo4j, and Azure enterprise security frameworks.
Experience in mortgage servicing, loan origination, or regulated financial services environments is strongly preferred.
Technical leader with hands-on experience architecting and delivering enterprise-scale AI/ML solutions within complex regulated domains like mortgage servicing.
Deep domain and technical expertise in LLMs, event-driven AI architectures, graph databases, and cloud-native AI platforms (GCP Vertex AI, Azure).
Skilled at translating complex business requirements into scalable AI products while influencing cross-team technical direction and mentoring engineers.