Senior Conversation Designer | Agentic Commerce

Accenture • Chicago, IL

2d

About The Position

We are seeking a Conversation Designer who understands how agentic commerce transforms interactions from static scripts into adaptive, AI-mediated exchanges. This role blends conversational design, experience design, and structured content strategy to craft intelligent dialogue systems that are brand-forward, agent-compatible, and continuously optimized through signals, structure, and feedback loops. You will design AI-native conversational ecosystems that enable brands to show up effectively in environments where intelligent agents shape discovery, guide decision-making, negotiate value, and increasingly act on behalf of customers.

Requirements

• 5+ years of experience designing conversational systems for chat, voice, multimodal, or AI-assisted commerce environments; with strong understanding of intent modeling, conversational taxonomies, and structured content systems.

Nice To Haves

• Bachelor’s degree in Design , Human-Computer Interaction, Linguistics, Communications, or a related field.
• Industry experience in Retail and Consumer Goods & Services.
• Exceptional writing skills with demonstrated ability to translate brand voice into structured dialogue systems.
• Experience collaborating with product, engineering, and data teams on AI-enabled experiences.
• Familiarity with Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) principles.
• Proficient in developing conversational prototypes, documentation, and training materials.
• A passion for innovation and a commitment to helping clients adopt AI-driven interaction models responsibly.

Responsibilities

• Conversational Vision for Agentic Journeys . Defining how brands behave across adaptive, agent-mediated interactions , including:
• Mapping dynamic conversational journeys that evolve based on agent inference, contextual signals, and user intent.
• Designing structured dialogue architectures that support both human-agent and agent-to-agent interactions.
• Ensuring conversational systems include decision support frameworks that intelligent agents can parse, reference, and optimize .
• Translating brand voice into machine-operable behavioral guidelines for AI-driven exchanges.
• Dialogue Architecture and Interaction Design . Shaping how customers and intelligent agents engage through adaptive interfaces , including:
• Crafting modular conversational flows that balance brand personality with clarity, intent recognition, and agent-friendly structure.
• Designing slot-filling patterns, prompt scaffolds, fallback states, and escalation paths.
• Creating reusable conversation components that support personalization and optimization at scale .
• Designing repair strategies and trust-building mechanisms when AI confidence is low or ambiguity is high.
• Structured Content and Intent Modeling for GEO/AEO . Building dialogue systems that are strategically structured for LLM reasoning, retrieval, and generative reinterpretation , including:
• Developing taxonomies of intents, entities, and conversational variables.
• Writing modular, semantically tagged content that improves agent comprehension and retrieval accuracy.
• Designing conversational patterns that surface high-quality signals for GEO/AEO optimization.
• Collaborating with content strategists and optimization teams to ensure dialogue systems improve findability, answer quality, and agent preference over time.
• Optimization-Centered Conversational Strategy . Embedding experimentation and continuous improvement into dialogue systems , including:
• Partnering with GEO practitioners and data teams to translate model insights into conversational refinements.
• Designing experiments that test tone, framing, response length, structured prompts, and negotiation patterns.
• Monitoring interaction performance and identifying opportunities to improve clarity, trust, and conversion outcomes.
• Ensuring conversational systems evolve responsibly through structured testing and signal analysis.
• Trust, Transparency and Ethical Dialogue Design . Designing conversations that build long-term trust in autonomous and semi-autonomous systems , including:
• Crafting explainability patterns that clarify agent reasoning and decision pathways.
• Designing consent and confirmation flows for agent-initiated transactions.
• Avoiding dark patterns and ensuring ethical behavioral design principles guide persuasive interactions.
• Defining escalation models where human intervention enhances safety and confidence.

Benefits

• Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees