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Director, AI Engineering

LinkedIn RealPage, Inc. Dallas County, TX
Not Applicable Posted April 2, 2026 Job link
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Requirements
  • Technical Expertise
  • Deep understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and advanced generative AI techniques.
  • Proficiency in OpenAI APIs (ChatGPT, GPT models) and Gemini (Google AI) for building conversational AI, multimodal solutions, and enterprise integrations.
  • Strong knowledge of AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
  • Experience with prompt engineering, fine-tuning large language models (LLMs), and leveraging embeddings for semantic search.
  • Familiarity with cloud-based AI platforms (Google Vertex AI, Azure AI, AWS SageMaker) and MLOps practices for deployment and monitoring.
  • Programming & Development
  • Advanced proficiency in Python and experience with RESTful API development for integrating OpenAI and Gemini services.
  • Expertise in building scalable AI microservices and orchestration using containerization (Docker, Kubernetes).
  • Strong understanding of software engineering best practices, version control (Git), and CI/CD pipelines.
  • Data Management & Governance
  • Knowledge of data preprocessing, feature engineering, and data quality assurance for LLM training and inference.
  • Understanding of data privacy regulations (GDPR, CCPA) and ethical AI principles.
  • Ability to implement robust data governance and security frameworks for sensitive enterprise data.
  • Proven ability to lead cross-functional teams and manage large-scale AI programs leveraging OpenAI and Gemini capabilities.
  • Strategic thinking to align AI initiatives with business objectives and ROI.
  • Strong decision-making skills under uncertainty and ability to prioritize competing demands.
  • Analytical & Problem-Solving
  • Exceptional analytical skills to interpret complex datasets and derive actionable insights.
  • Ability to troubleshoot AI models, optimize performance, and ensure cost-efficient API usage.
  • Communication & Stakeholder Management
  • Excellent verbal and written communication skills for presenting technical concepts to non-technical audiences.
  • Ability to influence senior leadership and drive organizational buy-in for AI initiatives.
  • 5+ years of experience in AI/ML development and deployment.
  • 2+ years in a leadership role managing AI teams and projects
  • Proven track record of delivering AI solutions that drive business impact.
  • Experience in enterprise-level AI strategy and implementation.
Education
  • (Not required) – Advanced degree (Master's or Ph.D.) in Computer Science, AI, Data Science, or related field.