Lead Software Engineer-ai Licensing & Publishing Systems

Disney Disney · Media · Orlando, FL +2

Lead Software Engineer to drive the development of scalable, intelligent systems for the Licensing & Publishing business using AI-driven decision making. This role will shape the architecture and delivery of next-generation platforms for licensing and book publishing workflows and predictive analytics, applying ML/AI to optimize workflows, forecasting, and compliance.

What you'd actually do

  1. Lead the design, development, and deployment of software solutions for Licensing & Publishing systems and AI-powered applications.
  2. Architect and implement scalable services that integrate with internal and third-party platforms.
  3. Collaborate with product, finance, and data science teams to define system requirements and deliver intelligent automation.
  4. Apply machine learning and AI techniques to optimize product approval workflows, forecasting, and compliance monitoring.
  5. Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation.

Skills

Required

  • 7+ years of software engineering experience, including leadership of complex projects.
  • Proven experience with financial systems, licensing workflows, or royalty management platforms.
  • Hands-on expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data pipelines.
  • Strong background in computer vision, particularly in color science and image object localization; familiarity with photography principles a plus.
  • Excellent programming skills in languages such as Java, Python, Go, Rust, C#.
  • Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (e.g., Kubernetes).
  • Agile development experience and familiarity with CI/CD pipelines.
  • Excellent communication and stakeholder engagement skills.

Nice to have

  • Experience with licensing systems in media, entertainment, or digital content industries.
  • Experience with product lifecycle management systems.
  • Familiarity with financial compliance standards and audit processes.
  • Background in data engineering or applied AI in enterprise environments.
  • Master’s degree or certifications in AI, Data Science, or Financial Technology is a plus.

What the JD emphasized

  • AI-driven decision making
  • Apply machine learning and AI techniques
  • intelligent automation
  • predictive analytics
  • AI/ML frameworks
  • computer vision
  • color science
  • image object localization

Other signals

  • AI-driven decision making
  • Apply machine learning and AI techniques
  • intelligent automation
  • predictive analytics