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Mid-level, popular AI/data title with remote option but niche LLM skills moderate applicant competition.
LLM and ML skills are transferable, but banking governance and regulated controls increase domain specificity.
Mandatory three years plus demonstrable LLM/agent experience, Python/SQL, and evaluation/governance requirements create strict filters.
Design and prototype multi-step agentic AI and LLM systems to automate and modernize banking processes, proving value before production handoff.
Own problem framing, solution design, prototyping, evaluation, and handoff to engineering for AI solutions in collaboration with business partners and engineering teams.
Build reusable tools, evaluation approaches, and governance controls to improve data science capabilities and compliance in a regulated environment.
Minimum 3 years of experience in data science, machine learning, AI engineering, applied research, or enterprise software development.
Bachelor’s degree in a related field or equivalent combination of education and experience.
Strong proficiency in Python and SQL; experience building multi-step LLM workflows with tool/function calling and orchestration.
Legal authorization to work in the US; remote candidates must reside in the US; work visa sponsorship not available.
Experienced in building and evaluating LLM-based AI solutions with measurable impact in business processes, preferably in regulated industries.
Skilled at translating ambiguous business problems into AI solutions and communicating tradeoffs to non-technical stakeholders.
Comfortable working in hybrid or remote settings within the US, collaborating closely with business and engineering teams.