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Strong Tier-1 brand, metro location, popular AI developer role, and broad mid-level requirements increase competition.
Core Python and LLM skills are highly transferable across industries despite financial services context.
Mandatory Python and generative AI expertise, enterprise SDLC and master's degree raise shortlisting rigor.
Design, build, and integrate AI-driven solutions end to end using Python and multiple large language models.
Evaluate and assess internal and external AI platforms and tools for capability, scalability, security, and risk.
Collaborate with architecture, AI and data, platform, and security teams to deliver secure, scalable, and production-ready solutions aligned with enterprise transformation objectives.
Master’s degree in Computer Science, Engineering, Data Science, or related technical discipline.
Several years of professional development experience focused on Python and AI-driven solutions.
Strong hands-on experience with Python for application and AI solution development and working with multiple Large Language Models.
Work Experience Required: A few years of professional development experience; Notice Period: Not explicitly mentioned in the JD.
Experienced in applied AI solution development within regulated or financial services environments is preferred but not mandatory.
Skilled in software development lifecycle (SDLC) with an ability to contribute to solution designs adhering to enterprise architecture and security standards.
Comfortable working cross-functionally with technical teams to align AI integration efforts with enterprise transformation and security objectives.