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Strong brand, mid-level lead role, metro location, and broad AI/platform skills increase applicant competition.
Core ML/AI and regulated‑domain experience is fairly transferable but mortgage/regulatory preferences increase domain specificity.
Explicit 5+ years plus leadership, AI governance, and technical authority expectations make filters moderately strict.
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Lead and make decisions on complex, large-scale technology initiatives with companywide impact.
Develop and enforce engineering standards and best practices across the organization for large-scale technology solutions.
Serve as technical authority, mentor teams, and influence strategic technology direction including AI engineering vision.
5+ years of Software Engineering experience (via work experience, training, military, or education).
Experience with software design, coding, testing, debugging, and documentation.
Experience leading projects, teams, or serving as a peer mentor.
Job expectations include leadership in architecture governance, code quality, and operational best practices.
Experienced in designing and implementing Agentic AI platforms, multi-agent systems, and multi-model LLM strategies (e.g., Gemini, Claude, OpenAI).
Knowledgeable about AI model governance, explainability, risk management in regulated environments, and event-driven architectures with Kafka or streaming platforms.
Prior leadership of cross-functional engineering teams with contributions to enterprise architecture and domain expertise in Mortgage-related technology solutions.