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Medium—strong employer brand and attractive senior AI leadership role but requires specialized Gen AI skills.
Medium—core ML/AI skills are transferable, but banking, compliance, and enterprise modernization experience increases domain specificity.
High—explicit years plus managerial requirement and mandatory Python/LLM/cloud and regulated banking experience.
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Lead multiple engineering teams to design, develop, and deliver enterprise-scale AI, Cloud, and Digital Transformation solutions within a banking platform.
Own architecture and drive modernization efforts including cloud-native, AI-enabled applications and application migration to target architectures.
Manage talent development, engineering excellence, and resource allocation while serving as a technical and strategic representative for product and cross-team collaboration.
7+ years of software engineering experience.
3+ years of management or leadership experience.
Expertise in Python development and experience with cloud platforms (GCP preferred, Azure, AWS desirable).
Experience leading large-scale AI, cloud, or digital transformation programs, preferably in banking or financial services domain.
Strong technical leadership with deep expertise in Generative AI (LLMs, RAG, Agentic AI frameworks) and cloud-native architectures.
Proven track record managing multiple engineering teams and driving enterprise modernization programs in regulated environments.
Experience collaborating with product management, architects, and executive leadership to align technology strategy with business objectives.