AI Experience Architect

Sawhorse Productions, an award-winning creative studio based in Los Angeles, is at the forefront of immersive experience design, creating captivating digital worlds that connect brands to audiences in fresh, interactive ways. With clients like Walmart, Dreamworks, NBCU, Coca-Cola, Lamborghini, and more, we’re known for our high-quality, on-brand experiences that are as fun as they are visually striking.

Sawhorse Interactive produces client content, but we don’t just make ads.

Our north star principles:

• Our experiences are FUN
• Our experiences look HIGH FIDELITY
• Our clients love us because we are ON BRAND

Our Releases Include:

• Walmart Discovered - 2024 ADDY Winner
• Alo Sanctuary
• Stranger Things Immersive Watch Party - 2022 PGA Award Nominee
• Tommy Play - Webby Award Nominee
• Elton John’s 'Beyond The Yellow Brick Road'
• Fashion Klossette and numerous digital fashion pieces on web3 platforms.

Sawhorse Productions is looking for an innovative AI Experience Architect to lead the design, development, and deployment of AI-driven interactive experiences that transform digital engagement. This role combines technical expertise in AI and machine learning with a creative approach to storytelling, user journey design, and content generation. You’ll work closely with brand stakeholders and cross-functional teams to conceptualize, build, and refine intelligent applications that enhance personalization, increase user engagement, and ensure seamless functionality across various platforms.

Responsibilities

• Conceptualization and Execution: Lead the creation and technical implementation of AI-powered interactive experiences, from ideation to deployment.
• Storytelling and User Journey Design: Architect user-centric experiences that blend storytelling, content generation, and dynamic AI elements, ensuring every interaction aligns with brand objectives and engages users deeply.
• Machine Learning Model Design: Develop and optimize machine learning models and algorithms that drive AI experiences, focusing on adaptability, user engagement, and platform scalability.
• Brand Alignment: Collaborate with stakeholders to ensure each AI-driven experience remains on-brand, culturally relevant, and creatively aligned with the client's vision.
• Technical and Cross-functional Collaboration: Partner with creative, engineering, and marketing teams to translate creative concepts into robust, intelligent applications that offer personalized user experiences.
• User Feedback and Data-Driven Refinement: Regularly analyze user data and feedback to enhance and refine AI applications, ensuring they evolve with changing user preferences and behaviors