Work cross-functionally with analysts, engineers, and program managers to develop and deploy agentic and AI solutions.

Use a product-driven mindset to transform key Finance processes using Agents and AI.

Partner with your product team to solve problem and deliver end-to-end process transformation.

Operationalize and monitor solutions; design and deploy model endpoints that adhere to high-availability Service Level Agreements (SLAs), implementing necessary health checks, retries, and fallback mechanisms.

Communicate results to peers, stakeholders, and leaders.

Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.

4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Experience building agentic workflows (e.g., agent development kit (ADK), context management, and prompt engineering) to transform corporate processes.