Senior Product Designer, Agentic UX

📍 Job Overview

Job Title: Senior Product Designer, Agentic UX

Company: Advisor360

Location: Remote (United States)

Job Type: Salaried Full-Time

Category: Product Design / UX Design (with a focus on AI & Systems)

Date Posted: 2026-06-24

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

• Spearhead the definition and design of "Agentic UX," focusing on the interaction between humans and AI systems in a high-stakes industry.

• Own the end-to-end user experience for AI-driven features, from conceptualization through to functional prototypes, ensuring seamless integration within the Advisor360° platform.

• Develop and maintain a specialized design system engineered for AI consumption, enabling consistent and predictable AI behavior.

• Collaborate closely with product and engineering teams to embed UX considerations early in the development lifecycle, ensuring AI capabilities are user-centric and effective.

• Champion accessibility and regulatory compliance by integrating WCAG AA standards into the core design system architecture.

📝 Enhancement Note: While the input job title is "Senior Product Designer, Agentic UX," the core responsibilities and required skills strongly indicate a role focused on the intersection of Product Design, UX Design, and AI/ML specific design. The emphasis on "agentic UX," "conversational intelligence," and designing for AI behavior places this role within the specialized domain of AI-centric product design, which has significant overlap with advanced UX and system design principles.

📈 Primary Responsibilities

• Experience Definition: Lead the definition of how advisors and clients interact with the Advisor360° platform's AI assistant, encompassing AI message rendering, multi-modal response containers, and conversational flows before engineering handoff.

• AI Behavior Design: Design the visual and behavioral patterns that differentiate AI messages from human ones, manage in-thread tool execution, and ensure graceful handling of streaming responses.

• Multi-Participant Design: Create user experiences that cater to three distinct participants: the advisor, the client, and the AI assistant, each with unique information needs, permission levels, and interaction patterns, including intent previews, confidence indicators, and progressive disclosure within chat interfaces.

• Design System Engineering: Build, evolve, and maintain a design system specifically designed for AI agent consumption, incorporating semantic naming conventions, robust design token architecture, Auto Layout for responsive intents, and AI-executable instructions (e.g., CLAUDE.md).

• Predictability & Trust: Establish structural consistency in AI tone, format, and response shape to foster user trust and enable users to build a reliable mental model of the AI's capabilities, even with varied output.

• Rapid Prototyping & Validation: Utilize AI-assisted tools (e.g., Claude Code, Figma MCP) or other rapid prototyping methods to translate concepts into testable artifacts quickly, and validate UX designs on functional prototypes rather than static mockups.

• Accessibility Champion: Proactively integrate WCAG AA compliance into the design system's token architecture by default and lead the UX efforts for AI content distinguishability to meet regulatory requirements.

• Strategic Alignment: Maintain a proactive stance by ensuring the UX for upcoming features is defined and approved at least one sprint ahead of current development, keeping product managers and tech leads unblocked and aligned.

📝 Enhancement Note: The responsibilities listed go beyond typical product design, emphasizing a deep understanding of AI behavior, system design, and the creation of AI-consumable design systems. This requires a strategic, forward-thinking approach to UX where the designer acts as a core part of the product definition team, not just an executor.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating advanced design thinking and systems proficiency is paramount. Formal education in Design, HCI, Computer Science, or a related field is often beneficial.

Experience:

• Minimum of 5 years of progressive experience in product design, with a proven track record of systems thinking and designing complex user experiences.

• Demonstrated experience in designing products driven by Artificial Intelligence (AI) or Machine Learning (ML), showcasing an understanding of non-deterministic systems and the design of correction/redirection affordances. Required Skills:

• Systems Thinking: Ability to design holistic user experiences that consider the interplay of multiple agents (human and AI) and complex system interactions.

• AI/ML Product Design: Proven experience designing for AI or ML-driven products, including understanding and mitigating challenges related to non-deterministic outputs.

• Figma Proficiency: Deep, hands-on expertise in Figma, specifically with component architecture, design variables/tokens, and advanced Auto Layout features for responsive design.

• Design System Development: Significant experience in building, contributing to, or maintaining a shared design system, including governance, documentation, and driving cross-team adoption.

• Rapid Prototyping: Proficiency in rapid prototyping, either through code or AI-assisted tools (e.g., Claude Code, Figma MCP), enabling fast iteration and testing without direct engineering dependency.

• Product Acumen: Strong product instincts and the ability to critically evaluate UX implications within technical reviews and strategic discussions.

• Interaction Design: Expertise in crafting intuitive and effective user interactions for complex digital products.

• Visual Design: Strong visual design skills to create clear, consistent, and aesthetically pleasing interfaces.

Preferred Skills:

• Conversational UI/Chat Design: Prior experience designing conversational user interfaces or chat-based applications, particularly within enterprise or regulated environments.

• Accessibility Expertise: Familiarity with WCAG AA standards and practical experience designing for accessibility at a system level.

• Industry Knowledge: Exposure to or experience within financial services, wealthtech, or other compliance-sensitive product domains.

• AI Documentation Authoring: Experience in authoring structured, AI-readable documentation formats such as CLAUDE.md or similar prompt-based design governance systems.

📝 Enhancement Note: The AI/ML product design requirement is critical. Candidates must be able to articulate how they've designed for uncertainty and non-determinism, which is a hallmark of AI systems. The emphasis on coding or AI-assisted prototyping underscores the need for designers who can move beyond static mockups.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Systems Thinking Showcase: A significant portion of the portfolio must demonstrate a strong ability in systems thinking, illustrating how you've designed interconnected components, scaled UIs, and managed complexity within a product ecosystem.

• AI/ML Design Case Studies: Include at least one detailed case study showcasing your experience designing for AI or ML-driven features. This should highlight challenges related to non-deterministic outputs, user trust, and how you addressed them.

• Design System Contributions: Evidence of your involvement in building or significantly contributing to a design system. This could include examples of component architecture, design token implementation, or documentation for system adoption.

• Figma Mastery: Demonstrate advanced Figma skills, such as complex component libraries, interactive prototypes utilizing Auto Layout and variables, and efficient workflow practices.

• Prototyping Capabilities: Showcase your ability to create functional prototypes, preferably using tools beyond static mockups, such as AI-assisted prototyping or basic coding.

Process Documentation:

• Workflow Design & Optimization: Examples of how you've mapped out user flows and optimized them for efficiency, clarity, and AI interaction