Director, Fleet AI Engineering
Hertz Global Hldgs INC - Atlanta, GA, United States
Posted Apr 1, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Not verified
Was this benefit information wrong? Tell us.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Director, Fleet AI Engineering Atlanta, GA, United States A Day in the Life: The Director, Fleet AI Engineering will define, build, and scale AI/ML solutions that drive significant business impact. You'll serve as a hands-on technical leader (player/coach), operating as a key individual contributor while leading a small team and partnering closely across product, data science, and engineering. This role requires strong technical understanding of modern AI systems (including how to debug and validate them) and a bias toward leveraging AI-assisted development workflows to accelerate delivery-especially for simulation-based optimization and real-time decisioning problems. The preferred candidate will sit at our corporate office in Atlanta, however, we are open to candidates located outside of the area to work remotely. The target starting rate is $130K; actual salary will be determined based on experience. What You'll Do: Solution Delivery: Own the end-to-end ML system lifecycle-from problem framing and offline evaluation to production deployment with observability, drift monitoring, controlled rollouts, and iteration based on real-world performance. Simulation-Based Decisioning: Develop simulation environments to train and evaluate sequential decision-making methods (including reinforcement learning where appropriate), focusing on simulator fidelity, reward design, offline/online evaluation, and safe real-time deployment. AI-Native Engineering: Build an AI-assisted development workflow (prompting and code-review standards, automated testing, documentation) and drive adoption across the team (e.g., Claude Code, Cursor, GitHub Copilot, Databricks Genie). Architectural Guidance: Design and scale production AI systems (data pipelines, model training/serving, feature and experiment infrastructure), balancing latency, reliability, cost, and integration into existing platforms. Cross-functional Collaboration: Translate business goals
Read the full description at fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com. FewerJobs shows a source-linked preview and links to the original posting.
Apply link verified; last checked Jun 13, 2026.
What verified means
Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.
Related jobs
-
Space Mission Ground Simulator - Principal / Sr Principal Systems Engineer
Northrop Grumman - United States-Maryland-Linthicum
-
Principal Engineer Reliability
Northrop Grumman - United States-California-Sunnyvale
-
Mission Assurance Engineer /Principal Mission Assurance Engineer
Northrop Grumman - United States-Utah-Clearfield
-
Sr. Principal Cyber Systems / Network Engineer
Northrop Grumman - VAFA09GC