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Tier-1 brand, mid-level generalist title, and popular ML/AI specialization increase applicant competition.
ML/AI platform skills are transferable, but regulated mortgage domain and governance expectations increase specificity.
Explicit 5+ years requirement exists but most technical qualifications are desired rather than strictly mandatory.
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Lead complex, companywide technology initiatives with broad impact and develop standards and best practices for large-scale engineering solutions.
Design, code, test, debug, and document projects; review and analyze complex technology solutions addressing strategic business objectives and technical challenges.
Serve as technical authority for assigned products, mentor engineers, lead teams, influence strategic technology decisions, and help define AI engineering vision.
5+ years of Software Engineering experience or equivalent demonstrated via work experience, training, military experience, or education.
Mandatory domain experience: Not explicitly mentioned in the JD.
No explicit degree requirements stated.
Notice period: Not explicitly mentioned in the JD.
Experienced in designing and implementing Agentic AI platforms, RAG solutions, orchestration frameworks, multi-agent systems, and multi-model LLM strategies such as Gemini, Claude, OpenAI, or proprietary enterprise models.
Experienced with AI model governance, security, event-driven architecture (Kafka), cloud-native platforms, AI-assisted development tools, and production monitoring for platform reliability.
Prior experience in mortgage domain (origination, underwriting, servicing), leading cross-functional engineering teams, contributing to enterprise architecture, and driving engineering excellence.