AI Solutions Engineer
AI Solutions Engineer
Posted 3 days ago
SENIORITY
Senior
About the role
- 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
- Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Economics, or a related technical field (required)2+ years' experience querying relational and lakehouse data with SQL (professional or academic)
- Expert proficiency in Python for data work, prototyping, and solution delivery
- Comfort working with large, messy, multi-source datasets; ability to join, clean, and validate data before building on itTrack record of uncovering useful insights and operationalizing data so those insights reach stakeholders in a usable, repeatable form
- Ability to measure and communicate the business impact of AI-enabled work
- Master's degree in a technical or analytical field (preferred)
- Experience with Databricks or similar data platforms for analytics and operational insights (preferred)
- Familiarity with AI-assisted development workflows and cloud data environments such as Spark (preferred)
- Experience quantifying ROI, productivity gains, or operational improvement from automation or AI programs (preferred)
- Energized by working across analysis and shipping-as excited to find the insight as to get it live on a small, fast-moving team
- Deep curiosity about data and a bias toward action in ambiguous, high-impact problem spaces
- Flexible and adaptable; thrives when the path forward isn't fully mapped yet
- Excellent verbal and written communication skills-able to make complex findings land with business and technical audiences
- Results driven, with strong analytical thinking, problem solving, and decision-making skills
- This position starts at $90K commensurate of experience
- Up to 40% off the base rate of any standard Hertz RentalPaid Time OffMedical, Dental & Vision plan options
- Retirement programs, including 401(k) employer matching
- Paid Parental Leave & Adoption Assistance
- Employee Assistance Program for employees & family
- Educational Reimbursement & Discounts
- Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness
- Perks & Discounts -Theme Park Tickets, Gym Discounts & more
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
