Role Overview:

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,andstructured content strategy to craft intelligent dialogue systems that are brand-forward, agent-compatible, and continuouslyoptimizedthrough 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.

Job Responsibilities

ConversationalVision 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, andoptimize.

• 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 atscale.

• 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.

• Designingexperiments that test tone, framing, response length, structured prompts, and negotiation patterns.

• Monitoring interaction performance andidentifyingopportunities 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 andconfirmationflows for agent-initiated transactions.

• Avoiding dark patterns and ensuring ethical behavioral design principlesguidepersuasive interactions.

• Defining escalation models where human intervention enhances safety and confidence.

Basic Qualifications:

• 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.

Preferred Qualifications

• Bachelor27s degree in Design, Human-Computer Interaction, Linguistics, Communications, ora relatedfield.

• Industry experience in Retail and Consumer Goods & Services.

• Exceptional writing skills withdemonstratedability 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.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 04/18/2026

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. See more information on our benefits here:

Role Location Annual Salary Range
California $94,400 to $266,300
Cleveland $87,400 to $213,000
Colorado $94,400 to $230,000
District of Columbia $100,500 to $245,000
Illinois $87,400 to $230,000
Maryland $94,400 to $230,000
Massachusetts $94,400 to $245,000
Minnesota $94,400 to $230,000
New York $87,400 to $266,300
New Jersey $100,500 to $266,300
Washington $100,500 to $245,000