Lead AI Designer with Retirement & Wealth Domain exp.

Lead AI Designer with Retirement & Wealth Domain exp.

Boston, MA or Windsor, CT Type :

Contract We need candidate to work onsite from Day 1 (Onsite Hybrid) Responsibilities

AI EXPERIENCE DESIGN & INTERACTION PATTERNS AI-NATIVE PROTOTYPING & DESIGN TOOLING PARTICIPANT & ADVISOR RESEARCH DESIGN SYSTEM & ACCESSIBILITY POD COLLABORATION & PRODUCT INFLUENCE

Experience 8+ years of product design experience with at least 3 years designing AI-powered features in production consumer or professional-facing applications

• not just design concepts, but shipped AI experiences with real users.

Demonstrated experience at Lead or Staff Designer level: defining design patterns used by others, contributing to product strategy, and setting the design quality standard for a product area rather than executing within one already defined. Experience in financial services, fintech, or a regulated consumer product environment where compliance requirements shape design decisions in the same artifacts as user experience decisions. Portfolio demonstrating AI experience design specifically: conversational interfaces, AI recommendation surfaces, uncertainty and error states, human-in-the-loop design patterns, and explainability UI

• not just general product design work. Design Skills
• Required Figma (expert level): component-based design, auto-layout, variant systems, prototyping, and the design system contribution workflow
• at the level where the Lead AI Designer is extending and maintaining the component library, not just consuming it.

Interaction design for

AI:

proven ability to design for non-deterministic, probabilistic outputs; experience designing streaming text interfaces, confidence indicators, correction affordances, and AI attribution patterns in production products.

Conversational and agentic UI design:

experience designing chat interfaces, voice interaction flows, or multi-step AI-guided task completion

• with specific attention to how the design handles LLM response latency, variability, and failure.

Prototyping for

AI:

experience using Protopie, Voiceflow, or equivalent tools to prototype AI interaction patterns; ability to build lightweight front-end prototypes for research using AI coding tools.

User research:

ability to design, recruit for, moderate, and synthesize qualitative research sessions specifically about AI trust, transparency, and comprehension; experience with usability testing of AI features, not just static interfaces.

Accessibility engineering:

WCAG 2.2 AA

compliance in practice, with specific experience designing for the accessibility challenges of AI-generated and dynamically updated content; familiarity with screen reader behavior for conversational and streaming UI patterns.

Design systems:

experience contributing to and maintaining a shared component library at scale; ability to document patterns in a form that other designers and engineers can implement consistently. AI Tooling

• Required AI-assisted design workflow in daily practice: generative AI tools for ideation and asset exploration, LLM-assisted copy drafting for UI text and disclosure language, and AI-powered design analysis
• not as experiments but as standard working tools.

Prompt engineering familiarity:

sufficient understanding of how LLM prompts shape outputs to contribute meaningfully to the prompt refinement process alongside the Lead AI Engineer

• specifically for the copy, format, and disclosure requirements that are design decisions.

AI coding tools for prototyping:

Claude Code, GitHub Copilot, Cursor, or equivalent; ability to build a lightweight React/TypeScript front-end prototype for research purposes without requiring engineering support.

Fluency in AI system concepts:

understanding of RAG retrieval, streaming inference, confidence scoring, agent tool use, and model output variability at the level required to design for them

• not to build them, but to anticipate their design implications accurately.

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.