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Strong Tier-1 brand, metro location, and mid-level AI/ML role attract many qualified applicants.
Requires regulated finance experience and agentic ML expertise, limiting cross-industry transferability.
Mandatory 5+ years, production ML, agentic platform and regulated finance experience create stringent hiring filters.
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Own end-to-end onboarding lifecycle of AI/ML and LLM use cases into the finance agentic platform, ensuring production readiness, reliability, and regulatory compliance.
Define and drive the agentic framework roadmap by creating reusable components and integration patterns, aligning with product strategy and adoption goals.
Build and maintain high-quality Python platform components applying modern engineering practices, manage operational stability and incident response for ML systems in production.
5+ years professional experience delivering AI/ML production solutions with end-to-end ownership from design to operation.
Applied experience with agentic platforms/frameworks and understanding of their architectural and operational distinctions from standard ML pipelines.
Advanced Python proficiency with strong software engineering fundamentals (system design, testing, code review, operational ownership).
Experience in financial services or regulated environments with knowledge of AI governance, risk, and control requirements.
Experienced technical lead bridging product owners, decision science teams, and technology delivery partners within regulated AI/ML finance platforms.
Proficient in applying advanced LLM techniques (prompt engineering, RAG, fine-tuning) to create scalable, measurable AI solutions in production.
Skilled in defining technical roadmaps, success metrics, and OKRs aligned to business outcomes and platform adoption goals.