Manager, AI Solutions & Development

3 Months ago • 8 Years + • Artificial Intelligence • $167,700 PA - $235,700 PA

Job Summary

Job Description

As a Manager, AI Engineering, you will lead a squad of Engineers to deliver POC’s of LLM applications. This role reports to the Sr Mgr, AI Engineering and will be responsible for delivery of high-quality AI solutions within highly visible strategic projects and requires active collaboration with cross-functional teams.Responsibilities: Lead a team of software engineers in designing, developing, and delivering AI/GenAI software solutions, ensuring high technical standards. Drive technical and system optimization for scalable, cloud-based AI/GenAI systems (AWS, Azure, GCP). Mentor and develop engineering talent, fostering a culture of innovation, technical excellence, and continuous improvement. Architect, design, and develop AI applications, integrating with Google Vertex, Microsoft OpenAI Azure, and other LLM suites. Design and implement effective prompts, configure LLM settings, and optimize performance through prompt crafting, RAG, fine-tuning and other techniques. Develop and maintain API endpoints, front-end features, and full-stack applications that leverage LLMs and Generative AI models. Implement AI applications that comply with ethical guidelines and legal standards, particularly regarding data privacy and user consent. Integrate analytics and monitoring tools to track user interactions, application performance, and the efficiency of LLM integrations. Stay up-to-date with emerging trends and advancements in Generative AI, LLMs, and related technologies. Continuously learn and adapt to emerging changes in AI and LLMs to ensure that the approach the team take is always at the forefront of innovation while maintain backward integrability. Drive the adoption of new tools, frameworks, and techniques to improve the efficiency and effectiveness of the team’s work.
Must have:
  • 8+ years of experience in full-stack software development
  • Regarded as an expert in the growing field of AI and developed AI solutions, prototypes, including GenAI and LLMs
  • Experience with PyTorch, TensorFlow, ONNX, LangChain, Kubernetes, and Docker
  • Deep understanding of AI frameworks including Huggingface, semantic search, RAG, LLM agents, AgentGPT, orchestration, plugins, and LLM Ops
  • Experience with Retrieval-Augmented Generation (RAG) architectures or frameworks like Langchain for building LLM-powered applications
  • Proficiency in programming languages such as Python, Java, JavaScript, and experience with frameworks like React and Node.js
  • Experience with cloud platforms such as Google Vertex, Microsoft OpenAI Azure, AWS, and Azure, using various solutions for developing integrations, APIs, and AI/ML applications
  • Familiarity with databases (e.g., MongoDB, CosmosDB) and big data tools (e.g., Hive, Hadoop, Hbase) and data visualization tools such as Matplotlib, Seaborn, or Plotly
  • Strong understanding of data preprocessing techniques for LLMs, including tokenization, embedding, and feature engineering, to optimize model performance and accuracy
  • Experience creating strategy and process for multi-release code management and CI/CD pipeline using tools like Git, Jenkins, and Artifactory
  • Ability to strategically influence and communicate complex ideas, anticipating varying perspectives and objections
Good to have:
  • Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
Perks:
  • Bonus and/or long-term incentive units
  • Full range of medical, financial, and/or other benefits

Job Details

Job Summary:

“We Power the Magic!” That’s our motto at Disney Experiences (DX) Tech & Digital. Our team creates world-class immersive experiences to consumers through our Parks & Resorts worldwide, Cruise Lines, and Disney Vacation Club. We are responsible for the end-to-end digital and physical Guest experience for all technology initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise. Our global team is comprised of nearly 3,000 professionals across technology, product, data, and operations functions, focusing on the development and implementation of digital technology strategies for our businesses around the world.

This role sits in a JedAI Platform team and as a Manager, AI Engineering, you will lead a squad of Engineers to deliver POC’s of LLM applications. This role reports to the Sr Mgr, AI Engineering and will be responsible for delivery of high-quality AI solutions within highly visible strategic projects and requires active collaboration with cross-functional teams.

We’re looking for someone with passion for Generative AI and LLMs, with a proven track record of delivering innovative AI applications. The ideal candidate should be able to confidently lead technical discussions, make critical decisions, and help implement best practices across the organization.

Responsibilities:

  • Lead a team of software engineers in designing, developing, and delivering AI/GenAI software solutions, ensuring high technical standards.

  • Drive technical and system optimization for scalable, cloud-based AI/GenAI systems (AWS, Azure, GCP).

  • Mentor and develop engineering talent, fostering a culture of innovation, technical excellence, and continuous improvement.

  • Architect, design, and develop AI applications, integrating with Google Vertex, Microsoft OpenAI Azure, and other LLM suites

  • Design and implement effective prompts, configure LLM settings, and optimize performance through prompt crafting, RAG, fine-tuning and other techniques

  • Develop and maintain API endpoints, front-end features, and full-stack applications that leverage LLMs and Generative AI models

  • Implement AI applications that comply with ethical guidelines and legal standards, particularly regarding data privacy and user consent

  • Integrate analytics and monitoring tools to track user interactions, application performance, and the efficiency of LLM integrations

  • Stay up-to-date with emerging trends and advancements in Generative AI, LLMs, and related technologies

  • Continuously learn and adapt to emerging changes in AI and LLMs to ensure that the approach the team take is always at the forefront of innovation while maintain backward integrability.

  • Drive the adoption of new tools, frameworks, and techniques to improve the efficiency and effectiveness of the team’s work.

Qualifications:

  • 8+ years of experience in full-stack software development, with a strong focus on building enterprise-scale distributed and cloud or hybrid-cloud applications

  • Regarded as an expert in the growing field of AI and developed AI solutions, prototypes, including GenAI and LLMs

  • Experience with PyTorch, TensorFlow, ONNX, LangChain, Kubernetes, and Docker

  • Deep understanding of AI frameworks including Huggingface, semantic search, RAG, LLM agents, AgentGPT, orchestration, plugins, and LLM Ops

  • Experience with Retrieval-Augmented Generation (RAG) architectures or frameworks like Langchain for building LLM-powered applications

  • Proficiency in programming languages such as Python, Java, JavaScript, and experience with frameworks like React and Node.js

  • Experience with cloud platforms such as Google Vertex, Microsoft OpenAI Azure, AWS, and Azure, using various solutions for developing integrations, APIs, and AI/ML applications

  • Familiarity with databases (e.g., MongoDB, CosmosDB) and big data tools (e.g., Hive, Hadoop, Hbase) and data visualization tools such as Matplotlib, Seaborn, or Plotly

  • Strong understanding of data preprocessing techniques for LLMs, including tokenization, embedding, and feature engineering, to optimize model performance and accuracy

  • Experience creating strategy and process for multi-release code management and CI/CD pipeline using tools like Git, Jenkins, and Artifactory

  • Ability to strategically influence and communicate complex ideas, anticipating varying perspectives and objections

Required Education:

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

Preferred Education:

  • Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

#DISNEYTECH


The hiring range for this position in Glendale, CA is $167,700 to $224,900 per year and in Seattle, WA is $175,800 to $235,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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About The Company

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

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