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Staff Software Engineer - AI/ML

NBCUniversal

Salary not specified
Sep 23, 2025
Orlando, FL, USA
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The company is looking for a Staff Software Engineer to serve as the technical anchor of their internal innovation team, guiding the design and development of platforms that solve high-impact problems where no off-the-shelf solution exists.

Requirements

  • Deep expertise in distributed systems, APIs, or full-stack platform development.
  • Hands-on experience with cloud-native environments (containers, serverless, CI/CD pipelines).
  • Familiarity with AI/ML systems (LLMs, RAG, applied ML).
  • Ability to lead technical direction while remaining hands-on.
  • Knowledge of microservices and event-driven architectures at enterprise scale
  • Cloud-native, global scaling experience (AWS and their various tool offerings)
  • Understanding of the mindset of “Fail Fast, Learn Fast” and continuous improvement

Responsibilities

  • Lead the design and development of platforms that solve high-impact problems where no off-the-shelf solution exists.
  • Translate ambiguous business needs into clear technical direction, delivering production-grade systems from prototype to platform.
  • Design systems that can evolve rapidly while maintaining reliability, scalability, and long-term maintainability.
  • Guide engineers across levels, setting standards for engineering excellence and fostering a culture of technical depth.
  • Rapid prototyping and driving projects from concept to delivery, ensuring ongoing ownership of the platforms.
  • Embed best practices in CI/CD, observability, and security from the start, ensuring production-readiness and support.

Other

  • Partner closely with Engineering Leadership and business stakeholders to turn high-level opportunities into working platforms.
  • Partner with product, design, AI/ML, and business stakeholders to define scope, clarify tradeoffs, and ensure success.
  • Strong communicator, able to explain tradeoffs to executives and mentor engineers.
  • Comfortable working in ambiguous, high-autonomy environments.
  • Track record of delivering complex solutions that align technical strategy with business needs.