Senior AI Developer

Fleet Pride is the largest after-market distributor of heavy-duty truck and trailer parts in the U.S. with some of the best and brightest people in the business! Partner with the best in the heavy-duty industry and apply today!

Responsibilities:70% – Hands-On AI Development & Engineering Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation)
Architect production-ready pipelines from data ingestion through model monitoring

Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
Write high-quality, production-grade code (Python required; additional languages a plus)
Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
Work across cloud platforms (Azure, AWS, or GCP) to deploy secure, enterprise-grade solutions

Ensure governance, security, explainability, and responsible AI principles are embedded in every solution

Optimize performance, scalability, and cost-efficiency of AI workloads
30% – Business Partnership & Solution Leadership Translate ambiguous business problems into structured AI solution designs

Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases

Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences

Lead solution design workshops and whiteboarding sessions

Quantify expected ROI and define measurable success metrics

Influence prioritization of AI initiatives based on business value and feasibility

Mentor junior developers and help elevate AI literacy across the organization

What Success Looks LikeAI solutions deployed into production that generate measurable business impact

Reduced time-to-value from idea to implementation

Business leaders who trust and understand the AI solutions being delivered

Scalable architecture that enables repeatable AI delivery across functions

Required Qualifications 7+ years of software development experience3+ years building and deploying machine learning or AI solutions in production

Strong proficiency in Python and ML frameworks (e.g., PyTorch, Tensor Flow, scikit-learn)

Experience with LLM ecosystems (OpenAI APIs, Hugging Face, Lang Chain, vector databases)
Solid understanding of data engineering fundamentals

Experience with cloud-native AI deployment (Azure ML, AWS Sage Maker, Vertex AI, etc.)Ability to communicate complex technical ideas clearly and confidently

Demonstrated experience working directly with business stakeholders

Preferred Qualifications Experience implementing enterprise-scale AI governance frameworks

Background in analytics, optimization, or decision intelligence

Experience designing AI copilots or intelligent automation solutions

MBA or strong business acumen

Experience in regulated or complex operational environments

Competencies

Builder mindset with production discipline

Systems thinker who designs for scale

Commercially oriented technologist

Comfortable in ambiguity

Strong executive communication skills

Bias for measurable outcomes over experimentation

Fleet

Pride is the leader in the industry comprised of retail, service, distribution and wholesale divisions.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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