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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, 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.
Job 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.
Basic Qualifications:
Preferred Qualifications
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.
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:
U.S. Employee Benefits | Accenture
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
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