Principal Software Engineer, AI Solutions & Development

Principal Software Engineer, AI Solutions & Development“We Power the Magic!” That’s our motto at Disney Experiences (DX) Tech & Digital. Our team creates world-class immersive experiences for 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 Principal level Engineer, you will report into the Sr Manager of AI Engagement. You will be positioned as an expert in Generative AI across Disney Experiences. You will lead a squad of engineers to deliver POCs of LLM applications. This role will be responsible for the 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 a 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. The ability to collaborate effectively with cross-functional stakeholders and communicate complex ideas to technical and non-technical audiences is essential in this role.WHAT YOU’LL DOLead a team of engineers and analysts to deliver POCs of LLM applications, driving technical decisions and best practicesArchitect, design, and develop AI applications, integrating with Google Vertex, Microsoft OpenAI Azure, and other LLM suitesDesign and implement effective prompts, configure LLM settings, and optimize performance through prompt crafting, RAG, fine-tuning, and other techniquesLead and influence cross-functional teams to define requirements, manage user expectations, and deliver high-quality AI solutionsDevelop and maintain API endpoints, front-end features, and full-stack applications that leverage LLMs and Generative AI modelsImplement AI applications that comply with ethical guidelines and legal standards, particularly regarding data privacy and user consentIntegrate analytics and monitoring tools to track user interactions, application performance, and the efficiency of LLM integrationsMentor, motivate, and develop the technical capabilities of existing engineering teams to cultivate a culture of collaboration and excitementStay up-to-date with emerging trends and advancements in Generative AI, LLMs, and related technologiesContinuously learn and adapt to emerging changes in AI and LLMs to ensure that the approach the team takes is always at the forefront of innovation while maintaining backward integrabilityDrive the adoption of new tools, frameworks, and techniques to improve the efficiency and effectiveness of the team’s workREQUIRED QUALIFICATIONS & SKILLS10+ years of experience in full-stack software development, with a strong focus on building enterprise-scale distributed and cloud or hybrid-cloud applicationsRegarded as an expert in the growing field of AI and developed AI solutions, prototypes, including GenAI and LLMsExperience with PyTorch, TensorFlow, ONNX, LangChain, Kubernetes, and DockerDeep understanding of AI frameworks including Huggingface, semantic search, RAG, LLM agents, AgentGPT, orchestration, plugins, and LLM OpsExperience with Retrieval-Augmented Generation (RAG) architectures or frameworks like Langchain for building LLM-powered applicationsProficiency in programming languages such as Python, Java, JavaScript, and experience with frameworks like React and Node.jsExperience with cloud platforms such as Google Vertex, Microsoft OpenAI Azure, AWS, and Azure, using various solutions for developing integrations, APIs, and AI/ML applicationsFamiliarity with databases (e.g., MongoDB, CosmosDB) and big data tools (e.g., Hive, Hadoop, Hbase) and data visualization tools such as Matplotlib, Seaborn, or PlotlyStrong understanding of data preprocessing techniques for LLMs, including tokenization, embedding, and feature engineering, to optimize model performance and accuracyExperience creating strategy and process for multi-release code management and CI/CD pipeline using tools like Git, Jenkins, and ArtifactoryAbility to strategically influence and communicate complex ideas, anticipating varying perspectives and objectionsREQUIRED EDUCATION:Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

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