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Tier-1 brand, popular fullstack title, metro location, and broad AI-plus-fullstack requirements increase competition.
Strong preference for financial services and wealth management raises domain-specific bias despite transferable AI and engineering skills.
Explicit 9–12 years requirement, leadership mandate, and specific AI and enterprise governance skills make shortlisting strict.
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Lead a team of Full Stack engineers delivering Python and Angular-based applications with a focus on Applied AI integration into portfolio design platforms and business workflows.
Define and execute technical strategy, architecture, and roadmaps for scalable, enterprise-grade portfolio design platforms that drive measurable business impact and advisor engagement.
Champion Agile development practices and responsible AI adoption including governance, risk management, and operational resilience to ensure high-quality, timely delivery of AI-enabled solutions.
Bachelor's or Master's degree in Computer Science, Engineering, or related discipline.
9–12 years of software engineering experience, with at least 4 years leading Full Stack development teams, preferably in financial services.
Strong hands-on expertise in Python and modern web frameworks such as Angular or React, with experience in APIs and REST architecture.
Experience with AI/ML technologies including Generative AI, LLMs, AI-assisted development, and knowledge of Responsible AI principles and governance.
Experienced full lifecycle leader comfortable managing both technical teams and complex AI-driven software product delivery within financial services or wealth management domain.
Strategic thinker who balances risk, governance, and long-term objectives while driving innovation in AI-enabled platforms and workflows.
Skilled in collaborating across global, cross-functional teams and partnering closely with business stakeholders to translate technical innovations into scalable business solutions.