Gen AI Architect - Only W2

Overview

Remote
$70 - $80
Full Time
Accepts corp to corp applications
No Travel Required
Able to Provide Sponsorship

Skills

AI
GCP
AWS

Job Details

GenAI Architect

100% Remote

Employee Value Proposition (EVP): This opportunity to be a part of Disney Studios' new data platform, building it from the ground up. Contract can extend up to 3 years, with the potential to convert FTE. The Walt Disney Company, a global leader in entertainment and technology, is seeking a Generative AI Solution Architect for The Walt Disney Studios' Data Platforms Team. Walt Disney's legacy of innovative storytelling and engagement with audiences worldwide continues to inspire our diverse ventures from theme parks, resorts, and cruise lines to sports, news, movies, and beyond. Our commitment to delivering unforgettable experiences drives every initiative, and we are always exploring new ways to enhance them.

Business Drivers/Customer Impact: This is part of the Studio s Data Services team, where you d join passionate, focused technologists who solve crucial problems within the dynamic and expanding media industry. We store, analyze, report, and visualize data and insights for everything from the financial engines that keep the Studio running to marketing and consumer applications that touch millions of people, to production data that supports the creation of Disney's wide array of films and series

Willing to consider candidates outside of the LA area to work 100% remotely. 1st preference is for the candidates from Glendale, California.

Top Skills - Must-Haves

  • AI
  • AWS
  • Python
  • Snowflake-Cortex

Top Skills Details: Candidates must have recent AI experience.

Important to have: 1) AI 2) AI Solutions with AWS 3) Proficient in Python 4) Experience using Snowflake Cortex, where we are initially starting to focus.

Job Description: We are looking for an experienced and highly skilled Generative AI Solution Architect to design, develop, and implement cutting-edge, scalable, and robust Generative AI solutions. The ideal candidate will possess deep technical expertise in AI, a strong background in software development, and a proven ability to collaborate across cross-functional teams to drive AI innovation within the organization.

Responsibilities:

  • Partner with business groups across Studios to understand their objectives, use cases, and challenges, and develop innovative, scalable Generative AI applications and solutions to address their needs.
  • Lead the discovery of AI use cases and evaluate them for technical feasibility, business impact, and associated risks.
  • Architect end-to-end Generative AI solutions, including model selection, training strategies, and deployment architecture, ensuring scalability, performance, and ethical considerations.
  • Design, develop, and deliver Generative AI applications using a variety of models, tools, and frameworks.
  • Optimize queries and validate the functionality and performance of Generative AI applications through testing and iterative improvement.
  • Evaluate and assess new generative AI technologies, including Large Language Models (LLMs), chatbots, vector databases, and Retrieval-Augmented Generation (RAG) architectures.
  • Lead proof of concept (PoC) and pilot implementations to validate the potential of Generative AI solutions.
  • Provide strategic guidance to ensure AI solutions are aligned with business goals and industry best practices.

Additional Skills & Qualifications

  • Minimum of 7 years of related experience in AI/ML, software development, and designing scalable AI solutions.
  • Bachelor's degree in Computer Science, Information Systems, Software Engineering, Electrical/Electronics Engineering, or a related field, or equivalent work experience.
  • Extensive background in AI, with a focus on developing robust, scalable, and innovative Generative AI solutions.
  • Proficiency in Python, SQL, and relevant AI libraries and frameworks.
  • Hands-on experience with multiple LLMs, chatbot development, vector databases, and RAG-based architectures.
  • Experience building and deploying AI solutions on cloud platforms such as Azure, AWS, and Google Cloud.
  • Expertise in query optimization and validation testing of AI applications.
  • Proven ability to work directly with business teams to translate business requirements into technological solutions.
  • Strong problem-solving abilities, coupled with excellent communication and interpersonal skills.
  • A collaborative mindset, capable of working across diverse teams to drive innovative solutions.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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