Director, Fleet AI Engineering

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

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Childcare support

Not verified

Learning budget

Offered From the posting source checked Jun 20, 2026

Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Director Plus From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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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 preview and links to the original posting.