Principal Generative AI Platform Architect

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences.
Orlando, FL, USAGlendale, CA, USASeattle, WA, USA
$180,700 - $253,800
Machine Learning
Principal Software Engineer
Hybrid
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS
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Description For Principal Generative AI Platform Architect

Disney Experiences (DX) Tech & Digital is seeking a Principal Generative AI Platform Architect to lead the end-to-end ownership of the Generative AI Platform. This role is part of the Artificial Intelligence (AI) Center of Excellence and reports directly to the Sr. Manager, Technology with a dotted line to the Director of AI Solutions & Development.

Key Responsibilities:

  • Lead the architectural vision for the Generative AI Platform
  • Design and define the platform's architecture, creating comprehensive blueprints
  • Strategically influence technology selection and integration
  • Lead development of critical platform components
  • Establish best practices and standards for platform development
  • Mentor and lead a team of developers and engineers
  • Stay at the forefront of Generative AI advancements
  • Partner with product teams to prioritize and define platform features
  • Ensure platform scalability, security, and cost-effectiveness
  • Drive continuous improvement of platform capabilities

Required Qualifications:

  • 10+ years of experience designing and architecting large-scale, distributed systems
  • 3+ years designing and deploying AI/ML/NLP/Deep Learning solutions
  • Recognized industry expert in AI, with a record of leading LLM and Generative AI solutions
  • Expertise in LLM ecosystems (Azure OpenAI, Google Vertex, AWS Bedrock)
  • Proficiency in cloud platforms (AWS, Azure, GCP)
  • Strong foundation in agile methodologies and DevOps practices
  • Experience with Retrieval-augmented generation (RAG) and managing large Knowledge Bases
  • Expert programming skills in Python, Java, or C++
  • In-depth knowledge of MLOps and LLMOps
  • Experience with vector databases and data processing techniques for LLMs
  • Hands-on experience with LLM application frameworks like Langchain
  • Strong problem-solving skills and ability to design scalable solutions
  • Exceptional communication and leadership abilities

Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study and/or equivalent work experience

The role offers a competitive salary range and a comprehensive benefits package, including health insurance, childcare options, paid time off, retirement programs, and tuition assistance.

Last updated 8 months ago

Responsibilities For Principal Generative AI Platform Architect

  • Lead the end-to-end ownership of the Generative AI Platform
  • Design and define the platform's architecture
  • Strategically influence technology selection and integration
  • Lead development of critical platform components
  • Establish best practices and standards for platform development
  • Mentor and lead a team of developers and engineers
  • Stay at the forefront of Generative AI advancements
  • Partner with product teams to prioritize and define platform features
  • Ensure platform scalability, security, and cost-effectiveness
  • Drive continuous improvement of platform capabilities

Requirements For Principal Generative AI Platform Architect

Python
Java
Kubernetes
  • 10+ years of experience designing and architecting large-scale, distributed systems
  • 3+ years designing and deploying AI/ML/NLP/Deep Learning solutions
  • Recognized industry expert in AI, with a record of leading LLM and Generative AI solutions
  • Expertise in LLM ecosystems (Azure OpenAI, Google Vertex, AWS Bedrock)
  • Proficiency in cloud platforms (AWS, Azure, GCP)
  • Strong foundation in agile methodologies and DevOps practices
  • Experience with Retrieval-augmented generation (RAG) and managing large Knowledge Bases
  • Expert programming skills in Python, Java, or C++
  • In-depth knowledge of MLOps and LLMOps
  • Experience with vector databases and data processing techniques for LLMs
  • Hands-on experience with LLM application frameworks like Langchain
  • Strong problem-solving skills and ability to design scalable solutions
  • Exceptional communication and leadership abilities
  • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or equivalent experience

Benefits For Principal Generative AI Platform Architect

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Education Budget
  • Health Insurance & Wellbeing
  • Childcare Options
  • Paid Time Off
  • Retirement Programs
  • Tuition Assistance
  • Weekly Pay

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