Lead and evolve AI-powered experience platforms and ecosystems, not just individual features, spanning agent frameworks, orchestration layers, governance tooling, and experimentation systems.
Design and govern semantic systems including taxonomies, ontologies, embeddings, retrieval strategies, evaluation signals, and feedback loops that enable scalable, high-trust AI experiences.
Specify agentic behaviors, manage taxonomy, enforce brand voice and compliance as key part of building, measuring and testing the loops that keep experiences safe, scalable, and high quality.
Lead exploration, prototyping, and validation of new AI interaction models, agent patterns, and multimodal experiences, translating into production-grade capabilities.
Serve as a craft expert, ambassador, and role model, influencing across design, product, engineering, data science, legal, and compliance; setting standards and direction without direct people management.
Deliver the taxonomy and semantic foundations that enable scalable, high quality AI conversations across domains and platforms.
Set the bar on strategic thought leadership, by driving deep, model aware content design to tune, evaluate, and evolve AI system behavior across prompts, retrieval, and orchestration layers.
Actively participate in design critiques, mentor other designers, and manage multiple complex projects across web, mobile web, and native apps (iOS and Android), utilizing user research and insights to refine and enhance the customer journey.
Act as a senior problem solver for the organization’s most ambiguous and high impact AI initiatives, bringing clarity, structure, and forward progress where none exists.
Serve as a strategic thought partner to executives, influencing AI investment decisions, platform direction, and risk posture across the enterprise.
Reframes and redefines problems into world-class enterprise software solutions, deliverables or reporting within time, scope, and budget by establishing, championing and inventing XD frameworks and practices.
Establishes how the enterprise understands and solve experience problems throughout the end-to-end product-development lifecycle.
Influences at the executive level and shapes enterprise priorities with teammates, partners and stakeholders.
Operates autonomously, independently and pro-actively to guide teams and enterprise through strategy, ambiguity and transformation.
Requirements
10+ years of design experience in a role demonstrating mastery in multidisciplinary content design, with a portfolio showcasing your proven expertise.
Demonstrated leadership delivering complex, AI-enabled platforms or products at enterprise scale, including systems used by millions of users or across multiple business units across complex, federated ecosystems.
Hands-on experience designing, launching, and governing AI agents or assistants in production, including orchestration logic, tool use, retrieval strategies, evaluation, and human-in-the-loop models.
Deep experience designing intelligent systems across content, UX, product, and data: including search, discovery, recommendations, agents, or decision-support tools.
Demonstrated success in designing content that progressively enhances or degrades gracefully across model swaps and upgrades.
Proven ability to define success metrics, run experiments, and use qualitative and quantitative signals to improve AI system behavior over time.
Proficiency in working with content systems, developing and adhering to brand, voice and tone guidelines while leveraging quantitative and qualitative data to inform and inspire.
Builds and mentors an AI first content design practice through standards, coaching, and hands on leadership without direct people management.
Ensures AI content systems meet enterprise standards for quality, safety, compliance, and responsible use.
Exemplifies leadership in problem-solving with a strong work ethic, showcasing reliability in issue resolution and time management with a focus on results.
Expert level in tools such as Figma, Copilot, and Content Management Systems.
Recognized as a thought partner by engineering and data science peers.
Adapts swiftly and positively to change, embodying curiosity, resilience, and flexibility.