AI Solutions Engineer
US$90,000 / yr base salary
Posted 13 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2+ yrs
- Management level
- Individual contributor
| Base salary | US$90,000 / yr |
|---|
Field of studyComputer Science, Economics, Engineering, Information Systems, Mathematics (or related)
Study levelBachelor's
Study levelMaster's
A Day in the Life:
This is a hands-on role at the intersection of data discovery and applied AI—where insights don’t stop at a slide deck, they go live. As an AI Solutions Engineer on our AI & Innovation team, you’ll hunt for patterns, anomalies, and untapped opportunity across Hertz’s operational and customer data, often surfacing answers that no dashboard has shown before. You’ll partner directly with business leaders and senior technical stakeholders to connect siloed data, challenge assumptions, and build capabilities that change how teams work with AI.
One week you may uncover an insight that reshapes a pricing decision; the next, you ship an AI agent or automated workflow that runs in production on a schedule. You’ll work in Databricks with Python and SQL, use AI-assisted development tools to move fast, and own the full path from notebook to live tool—pipelines, agents, lightweight apps, and knowledge systems included. You’ll also prove the value of what you build by establishing baselines, tracking outcomes, and showing leadership the real operational and financial impact of Hertz’s AI and automation investments.
What You’ll Do:
- Hunt across enterprise data—operations, customer behavior, pricing, and internal systems—for trends, anomalies, and opportunities that standard reporting never surfaces
- Uncover hidden value where useful data sits in silos, incomplete or unconnected, waiting to change how a team operates
- Curate and join multi-source datasets into analysis-ready assets on Databricks and similar platforms
- Deliver analyses that move decisions, not just dashboards—with clear documentation of assumptions, lineage, and limitations
- Ship insights into production: scheduled pipelines, refreshed datasets, embedded logic, and AI-enabled tools teams depend on every day
- Build applied AI capabilities—agents, automated workflows, lightweight web apps, knowledge tools—that put data at the point of need
- Utilizes Databricks, Python, SQL, and AI-assisted development tools to prototype fast and deliver production-quality solutions
- Own the full journey from discovery to deployment, including refreshes, monitoring, and tight feedback loops with the teams using what you build
- Quantify impact by establishing baselines, tracking outcomes before and after launch, and showing the real business value of AI and automation
- Collaborates with business partners, senior technical leaders, and engineering teams across Hertz to validate findings and scale what works
- Present findings with clarity and conviction—substance and business relevance over hype
What We’re Looking For: