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Tier-1 brand and mid-level experience increase competition, while niche GenAI/LLM specialization reduces candidate pool.
ML/GenAI engineering skills transfer across industries, but mortgage and regulated experience increases fit sensitivity.
Enterprise bank hiring with leadership, governance, and GenAI technical expectations drives stringent screening.
Lead complex, companywide technology initiatives with broad impact, focusing on AI and software engineering solutions.
Establish and influence engineering standards and best practices across large-scale technology projects and platforms.
Mentor engineering teams, oversee architecture governance, and drive strategic technology decisions in AI and platform reliability.
5+ years of Software Engineering experience or equivalent (via work experience, training, military experience, or education).
Not explicitly mentioned: specific degree requirements.
Not explicitly mentioned: mandatory notice period.
Not explicitly mentioned: strict location or onsite requirements.
Experience with Agentic AI platforms, RAG solutions, multi-agent systems, and multi-model LLM strategies (e.g., Gemini, Claude, OpenAI).
Strong background in AI model governance, explainability, security, risk management, and cloud-native deployment.
Proven leadership in cross-functional engineering teams and enterprise architecture initiatives, preferably with domain knowledge in Mortgage-related technologies.