Staff AI Acceleration Engineer
Dave · United States
About this role
**DAVE VS. GOLIATH. WE’RE DAVE.** Dave is a financial app on a mission to level the financial playing field—building affordable, transparent, user-centric access to liquidity for millions of Americans. Dave serves people who are financially vulnerable or living paycheck to paycheck, with products designed to meet credit needs underserved by traditional institutions. --- ## The Opportunity We’re looking for a **Staff AI Acceleration Engineer** to define the technical foundation for how **AI agents** are built, connected to data, and safely deployed across Dave. This is a highly influential **individual contributor** role focused on **architecture, technical strategy, and platform design**. You’ll establish the patterns, standards, and infrastructure that enable teams across the company to build **trusted AI agents on governed data**. Your work will shape Dave’s **AI Agent Factory**—the platform that makes AI development **repeatable, secure, and scalable**. **Reports to:** Director, Data Platform & AI Acceleration --- ## What You’ll Build - Define the architecture and technical strategy for Dave’s **AI Agent Factory**, including reusable frameworks, evaluation patterns, deployment standards, and observability. - Design the **MCP server architecture** and AI-ready data access layer that enables LLMs to securely reason over governed enterprise data. - Architect integrations between AI agents and Dave’s **semantic layer** so business definitions remain consistent across analytics, reporting, and AI experiences. - Establish **governance-by-design** patterns for authentication, authorization, auditability, PII protection, and responsible AI deployment. - Design evaluation frameworks that measure agent quality, reliability, and operational performance before production deployment. - Partner across Engineering, Data, Security, and Product to establish technical standards that enable AI adoption across the organization. --- ## The Impact Your work becomes the foundation every engineering team builds on as Dave scales AI across the business. By creating **trusted infrastructure** instead of one-off solutions, you’ll accelerate development while ensuring AI systems remain **reliable, secure, and aligned** with our data platform. --- ## What We’re Looking For ### Required - Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Information Systems, or a related technical field. - **8+ years** of experience in software engineering, platform engineering, data engineering, ML infrastructure, or AI engineering. - Experience architecting and delivering **production-grade AI platforms**, LLM-powered applications, or autonomous agent systems. - Deep experience designing systems that securely connect LLMs to structured enterprise data through APIs, semantic layers, retrieval systems, or governance frameworks. - Experience designing **MCP servers**, function-calling frameworks, tool-use architectures, or similar AI connectivity patterns. - Strong software engineering fundamentals with expertise building scalable, reliable distributed systems. - Experience with modern data platforms and infrastructure including **Snowflake, dbt, Airflow, Kafka, Python, Kubernetes**, and cloud-native technologies. - Experience establishing engineering standards for testing, monitoring, CI/CD, observability, and operational excellence. - Demonstrated ability to influence technical direction across multiple teams without direct authority. ### Ni
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