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Tier-1 brand and metro location increase applicants, while niche agentic/LLM production skills moderate competition.
Strong finance regulatory and agentic AI requirements limit cross-industry transferability.
Explicit 5+ years, regulated finance experience, and specific agentic/LLM production requirements enforce strict filters.
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Own end-to-end onboarding lifecycle for AI/ML and LLM use cases including intake, integration, deployment, and production readiness in a regulated finance platform.
Define and drive agentic framework roadmap, standardizing reusable patterns for AI/ML adoption aligned with product strategy and platform goals.
Build and maintain high-quality Python platform components applying modern engineering and ensure operational stability and governance compliance of AI/ML systems in production.
5+ years professional experience delivering AI/ML solutions end-to-end in production environments.
Strong proficiency in Python with experience writing production-quality, maintainable, and reliable code.
Experience working in regulated financial services or similarly regulated industry with understanding of governance, risk, and control requirements for AI/data systems.
Applied experience with agentic AI platforms/frameworks and hands-on deployment of ML models and LLM solutions with evaluation metrics.
Technical anchor capable of bridging product, decision science, and delivery teams in a finance agentic platform context.
Experienced in defining and owning technical roadmaps with measurable success metrics and aligning delivery to product and business goals.
Skilled at managing complex, cross-disciplinary problems pragmatically, with clear communication of technical trade-offs to senior non-technical stakeholders.