We are:  
Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song 

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
 

Conversatio
nal
 
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.