Staff AI Acceleration Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Define the architecture and technical strategy for Dave’s AI Agent Factory, encompassing reusable frameworks, evaluation patterns, deployment standards, and observability.

• Design the MCP server architecture and an AI-ready data access layer to facilitate secure LLM reasoning over governed enterprise data.

• Architect the integrations between AI agents and Dave’s semantic layer to ensure consistent business definitions across analytics, reporting, and AI experiences.

• Establish governance-by-design patterns for authentication, authorization, auditability, PII protection, and responsible AI deployment.

• Create evaluation frameworks to assess agent quality, reliability, and operational performance prior to production deployment.

• Collaborate across Engineering, Data, Security, and Product teams to set technical standards that foster AI adoption throughout the organization.

• Shape the technical foundation for company-wide AI infrastructure and intelligent systems.

• Report directly to the Director of Data Platform & AI Acceleration.

⛳️ Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Information Systems, or a related technical field.

• Over 8 years of experience in software engineering, platform engineering, data engineering, ML infrastructure, or AI engineering.

• Proven experience in architecting and delivering production-grade AI platforms, LLM-powered applications, or autonomous agent systems.

• Extensive expertise in designing systems that securely connect LLMs to structured enterprise data via APIs, semantic layers, retrieval systems, or governance frameworks.

• Experience in designing MCP servers, function-calling frameworks, tool-use architectures, or comparable AI connectivity patterns.

• Strong foundational knowledge in software engineering with proficiency in building scalable, reliable distributed systems.

• Familiarity with modern data platforms and infrastructure, including Snowflake, dbt, Airflow, Kafka, Python, Kubernetes, and cloud-native technologies.

• Experience in establishing engineering standards for testing, monitoring, CI/CD, observability, and operational excellence.

• Proven ability to influence technical direction across multiple teams without direct authority.

🏝️ Benefits

• Opportunity to tackle challenging problems, learn, and grow alongside fellow top talent, while assisting millions in achieving their personal financial goals.

• Flexible hours and a virtual-first work culture, complete with a home office stipend.

• Comprehensive Medical, Dental, and Vision Insurance plans.

• Generous paid parental and caregiver leave.

• 401(k) savings plan with matching contributions.

• Access to financial advising and wellness support.

• Flexible PTO and generous company holidays, including Juneteenth and Winter Break.

• Company-wide in-person events once or twice a year and virtual events throughout to foster connections with team members and leadership.

• Equity.