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Tier-1 brand, metro location, and mid-level lead title intensify candidate competition.
GenAI, LLM, and regulated-environment expertise make industry fit moderately important but skills remain transferable.
Explicit 5+ years requirement plus specialized GenAI, LLM, and regulated-environment expectations increase selection rigor.
Lead complex, companywide technology initiatives and develop engineering standards for large-scale technology solutions.
Design, code, test, debug, and review complex solutions focusing on strategic business objectives and enterprise technological environment.
Serve as technical authority, mentor teams, influence strategic technology decisions, and drive engineering excellence and operational best practices.
5+ years of Software Engineering experience or equivalent via work experience, training, military service, or education.
Experience with AI platforms, multi-agent systems, multi-model LLM strategies, event-driven architecture, cloud-native platforms, and production monitoring techniques is desired but not mandatory.
Prior experience leading cross-functional engineering teams and contributing to enterprise architecture initiatives is desired but not mandatory.
Work Experience Required: 5+ years in Software Engineering. Notice Period: Not explicitly mentioned in the JD.
Experienced in designing and implementing Agentic AI platforms, Retrieval-Augmented Generation (RAG) solutions, multi-model large language model strategies including Gemini, Claude, OpenAI.
Strong familiarity with AI governance, explainability, security, risk management, and regulated environments, specifically in Mortgage domain processes like origination, underwriting, servicing, or document processing.
Experienced leader with ability to mentor engineers, drive architectural governance, and influence AI engineering vision and strategic technology decisions.