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Strong Tier-1 brand, generalist lead title, and mid-level (5+ years) attract many qualified applicants.
ML platform and cloud skills are transferable, but mortgage domain and regulated-experience needs reduce portability.
Explicit 5+ years plus AI governance, platform, and domain expectations produce moderate rigor in selection.
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Lead complex, companywide technology initiatives with broad organizational impact.
Develop and enforce engineering standards and best practices across large-scale technology projects.
Mentor engineers and influence strategic technology decisions, including AI engineering vision and architectural governance.
Minimum 5 years of software engineering experience or equivalent through work, training, military experience, or education.
Experience designing, coding, testing, debugging, and documenting technology solutions at scale.
Work experience in leading cross-functional engineering teams or enterprise architecture initiatives is implied but not explicitly quantified.
Notice period or location requirements: Not explicitly mentioned in the JD.
Experienced leader capable of owning technical authority for products and platforms, driving engineering excellence and operational best practices.
Strong expertise in AI platforms, multi-agent systems, multi-model LLM strategies, and event-driven architectures.
Background or experience in regulated environments, mortgage domain, and using AI-assisted development tools for production-grade reliability and observability.