Forward Deployed Engineer - Finance

Responsibilities

• Translate complex finance workflows and ambiguous business problems into clear requirements, technical designs, success measures, and delivery plans — guiding architecture across data, models, APIs, orchestration, UX, and human-in-the-loop controls.
• Prototype and productionize AI solutions: agents, retrieval-augmented generation, workflow automation, analytics, and ML applications.
• Partner with data owners and platform teams to securely integrate structured and unstructured data, set access controls, and improve data quality and lineage.
• Lead technically and organizationally complex initiatives from discovery to launch, balancing experimentation with enterprise scale, security, governance, and maintainability.
• Build reusable reference architectures, patterns, and enablement assets, and communicate recommendations, tradeoffs, and results to audiences from finance operators to executives and engineers.
• What we need to see
• Hands-on Python, SQL, and Git, with Databricks or a comparable cloud data and AI platform.
• Practical experience building and deploying modern AI — LLMs, prompt/context design, agents, MCPs, and evaluations — and integrating applications via APIs across structured and unstructured data.
• Strong product and program judgment: create clarity from ambiguity, define an MVP, manage dependencies and risk, and deliver iteratively.
• Working knowledge of responsible AI, privacy, security, and governance, with excellent communication that teaches technical concepts to nontechnical audiences and influences across functions without formal authority.

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