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Global brand, metro location, and senior AI focus produce moderate candidate competition.
AI platform leadership skills are transferable across industries but favor enterprise platform experience, so medium sensitivity.
Master's requirement plus mandated enterprise AI platform leadership and governance implies high shortlisting strictness.
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Lead design, development, and governance of AI-powered engineering platforms and accelerators to improve software productivity, quality, and modernization.
Drive AI solutions across the end-to-end SDLC, including intelligent requirements, AI-assisted design, code generation, automated testing, and operational automation.
Lead application modernization initiatives and establish AI governance frameworks; engage with business units, senior leadership, and external partners to implement AI-enabled engineering transformation.
Experience building enterprise AI products or internal engineering platforms.
Experience working with global engineering teams and multiple business units.
Master's degree in Computer Science, AI, Data Science, Engineering, or related discipline.
Work Experience Required: Not explicitly mentioned in the JD
Experienced leader capable of driving AI-powered transformation across large-scale software engineering organizations.
Strong collaborator able to work with cross-functional teams including architects, business units, cloud providers, and external technology partners.
Skilled in defining AI governance, modernization strategies, and delivering measurable productivity and quality improvements in SDLC processes.