Senior AI Developer

FleetPride AI/ML EngineerFleetPride 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 & EngineeringDesign, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation)Architect production-ready pipelines from data ingestion through model monitoringDevelop 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 solutionsEnsure governance, security, explainability, and responsible AI principles are embedded in every solutionOptimize performance, scalability, and cost-efficiency of AI workloads30% – Business Partnership & Solution LeadershipTranslate ambiguous business problems into structured AI solution designsPartner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use casesClearly explain AI concepts, tradeoffs, and model outputs to non-technical audiencesLead solution design workshops and whiteboarding sessionsQuantify expected ROI and define measurable success metricsInfluence prioritization of AI initiatives based on business value and feasibilityMentor junior developers and help elevate AI literacy across the organizationWhat Success Looks LikeAI solutions deployed into production that generate measurable business impactReduced time-to-value from idea to implementationBusiness leaders who trust and understand the AI solutions being deliveredScalable architecture that enables repeatable AI delivery across functionsRequired Qualifications7+ years of software development experience3+ years building and deploying machine learning or AI solutions in productionStrong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)Experience with LLM ecosystems (OpenAI APIs, Hugging Face, LangChain, vector databases)Solid understanding of data engineering fundamentalsExperience with cloud-native AI deployment (Azure ML, AWS SageMaker, Vertex AI, etc.)Ability to communicate complex technical ideas clearly and confidentlyDemonstrated experience working directly with business stakeholdersPreferred QualificationsExperience implementing enterprise-scale AI governance frameworksBackground in analytics, optimization, or decision intelligenceExperience designing AI copilots or intelligent automation solutionsMBA or strong business acumenExperience in regulated or complex operational environmentsCompetenciesBuilder mindset with production disciplineSystems thinker who designs for scaleCommercially oriented technologistComfortable in ambiguityStrong executive communication skillsBias for measurable outcomes over experimentationFleetPride 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.