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Tier-1 brand and metro location increase applicant density, but specialized principal AI role limits applicants.
Strong ML/AI production and leadership requirements make cross-industry transferability limited.
Requires deep ML, Java/Python, RAG and leadership experience, enforcing strict technical and seniority filters.
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Lead technical direction across multiple teams and locations, setting vision for Applied AI/ML within Consumer & Community Banking.
Architect, develop, and productionize scalable AI/ML solutions including Agentic AI and Retrieval-Augmented Generation (RAG) systems using Java and Python.
Drive engineering productivity by championing AI4Tech adoption, resolving engineering bottlenecks, and designing scalable data processing pipelines to deliver measurable business impact.
Proficient in Java and Python with extensive experience building and deploying AI/ML solutions in production.
Demonstrated expertise in Agentic AI, RAG architectures, large language model integration, and prompt engineering.
Proven experience leading cross-country engineering projects with technical authority.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced technical leader skilled in translating complex business problems into scalable AI/ML solutions with measurable outcomes.
Strong background in enhancing engineering productivity through AI-powered tooling and automation at large scale.
Comfortable working in cross-functional, multinational teams and influencing senior stakeholders in regulated, high-scale environments such as financial services.