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Tier-1 brand, mid-level generalist title, and broad AI/cloud skill requirements drive high competition.
Mortgage, regulated environment, and AI governance requirements increase industry-specific bias.
Explicit 5+ years requirement plus specialized AI, cloud, and platform skills make screening moderately strict.
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Lead and deliver complex, companywide technology initiatives with broad business impact.
Develop, enforce, and evolve engineering standards and best practices across large-scale technology solutions.
Serve as technical authority by driving architecture governance, mentoring engineers, and influencing strategic AI engineering decisions.
Minimum 5 years of software engineering experience (including work experience, training, military experience, or education).
Not explicitly mentioned: mandatory degrees or certifications.
Not explicitly mentioned: location or onsite requirements.
Not explicitly mentioned: explicit notice period requirement.
Experienced leading cross-functional engineering teams and contributing to enterprise architecture efforts.
Strong background in AI platforms including Agentic AI, multi-agent orchestration, multi-model LLM strategies, and AI governance in regulated environments.
Practical knowledge of event-driven architectures, cloud-native deployments, mortgage domain experience, and workflow automation with AI-driven business process optimization.