Forward Deployed Engineer - Finance
$116k - $230k • Remote • US, CA, Santa Clara
Posted 1d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
NVIDIA Finance is seeking a Forward Deployed Engineer and AI Enabling expert to drive measurable business outcomes through applied AI. This role sits at the intersection of finance functions, data platforms, and AI, partnering with various stakeholders to identify opportunities, build solutions, and foster adoption of new working methods. The ideal candidate will possess technical depth, business acumen, program leadership skills, and a strong capacity for enablement, moving comfortably from ambiguous problems to production-ready solutions and sustained adoption.
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 including 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 diverse audiences.
Requirements
- Hands-on Python, SQL, and Git, with experience in Databricks or a comparable cloud data and AI platform.
- Practical experience building and deploying modern AI, including LLMs, prompt/context design, agents, MCPs, and evaluations, and integrating applications via APIs across structured and unstructured data.
- Strong product and program judgment, with the ability to create clarity from ambiguity, define an MVP, manage dependencies and risk, and deliver iteratively.
- Working knowledge of responsible AI, privacy, security, and governance.
- Excellent communication skills to teach technical concepts to nontechnical audiences and influence across functions without formal authority.
- 3+ years in computer science, data science/engineering, analytics, automation, or applied AI.
- A BS or MS degree in Data Science, Computer Science, Engineering, Economics, Finance, Business Analytics, or a related field, or equivalent experience.
Benefits
- Highly competitive salaries
- Comprehensive benefits package
- Equity