Design and implement production AI features and capabilities across the fleet management portfolio
Build scalable AI/ML models and services for predictive maintenance, route optimization, driver behavior analysis, and fleet operations
Develop AI-powered APIs and microservices that serve multiple web and mobile applications
Leverage and evangelize AI-powered development tools (GitHub Copilot, Cursor, ChatGPT, Claude, etc.) to accelerate feature development
Create reusable AI components, SDKs, and libraries that reduce duplication across teams
Modernize legacy systems by integrating modern AI capabilities
Implement LLM-powered features (chatbots, natural language interfaces, document processing, automated insights)
Build AI experimentation frameworks and A/B testing infrastructure
Lead Through Example
Define the long-term AI strategy and roadmap for the fleet management platform
Serve as the organizational SME for AI technology adoption and implementation
Champion and integrate emerging AI technologies that solve real business problems
Mentor engineers on AI/ML best practices, prompt engineering, and AI-assisted development
Establish standards for responsible AI development, model governance, and ethical AI use
Share best practices for using AI development tools to maximize productivity
Guide architectural decisions for AI feature integration across the platform
Foster a culture of AI innovation, experimentation, and continuous learning
Technical Execution & Strategy
Partner with product, engineering, and business teams to identify high-impact AI opportunities
Evaluate and select appropriate AI/ML frameworks, models, and platforms for different use cases
Design MLOps pipelines for model training, deployment, monitoring, and retraining
Implement responsible AI practices including bias detection, fairness, and explainability
Create comprehensive documentation, playbooks, and training materials for AI adoption
Build monitoring and observability for AI model performance and drift detection
Collaborate with data teams on feature engineering, data pipelines, and model training infrastructure
Drive proof-of-concepts and experiments to validate AI opportunities
REQUIRED QUALIFICATIONS
Requirements
10+ years of professional software engineering experience
3+ years focused on AI/ML product development and delivery
2+ years in a technical leadership position
Proven track record of shipping AI-powered features to production at scale
Extensive experience using AI-assisted development tools in daily workflows
History of establishing AI practices and strategies across engineering organizations
Experience in fleet management, transportation, logistics, or IoT domains preferred
Track record of mentoring and growing technical talent
Willingness to maintain hands-on technical involvement
AI/ML Product Development
Expert-level experience building production AI/ML applications
Strong background in supervised and unsupervised learning algorithms
Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, JAX)
Production experience with Large Language Models (LLMs) and generative AI
Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning
Experience with computer vision for applications like driver monitoring or vehicle inspection
Understanding of time-series analysis and forecasting for fleet operations
Experience with recommender systems and optimization algorithms
AI-Assisted Development Expertise
Deep expertise using AI coding assistants (GitHub Copilot, Cursor, Cody, etc.) in production
Proven ability to train teams on effective AI-assisted development practices
Understanding of prompt engineering for code generation and debugging
Knowledge of when and how to leverage AI tools for maximum productivity
Experience establishing organizational standards for AI tool usage
Fleet & Transportation AI Use Cases
Predictive maintenance and failure prediction models
Route optimization and dynamic routing algorithms
Driver behavior analysis and safety scoring
Fuel efficiency optimization and cost reduction
Demand forecasting and capacity planning
Natural language processing for logs, reports, and docume
Benefits
Vision insurance
Additional Information
JOB SUMMARY
We're looking for a pragmatic, hands-on Principal AI Engineer who gets things done. You'll spend significant time writing code while helping elevate the technical skills of the broader organization. This role is ideal for someone who thrives on building and delivering AI-powered products and features, has extensive experience leveraging AI development tools to accelerate delivery, and excels at establishing AI strategy and best practices across an entire fleet management portfolio. You'll balance individual contribution with strategic technical leadership, serving as the subject matter expert (SME) for AI technology adoption, helping teams integrate AI capabilities into applications, and mentoring engineers on how to develop effectively with AI-assisted tools.
Solera · Westlake, TX