Position Summary
We are seeking a Conversational AI Lead to design and implement intelligent voice and digital self-service experiences using Microsoft Copilot Studio, Azure AI Foundry, and Dynamics 365 Contact Center.
The role will lead the design of customer-facing conversational experiences that enable customers to authenticate, obtain information, complete transactions, resolve routine inquiries, and seamlessly transfer to live contact-center agents when necessary.
The ideal candidate combines conversational design skills with practical experience deploying production AI solutions in regulated, transaction-intensive environments. Experience with tolling, transportation, government, utilities, financial services, or high-volume consumer contact centers is strongly preferred.
Key Responsibilities
- Lead the design and implementation of Copilot Studio voice and chat agents.
- Develop conversational experiences supporting use cases such as:
- Account and balance inquiries
- Payment inquiries
- Toll and transaction questions
- Violations and notices
- Account maintenance
- Frequently asked questions
- Knowledge-based customer service
- Design effective dialog flows, topics, intents, entities, prompts, actions, fallback logic, and escalation paths.
- Integrate conversational agents with Dynamics 365, Dataverse, APIs, back-office platforms, payment services, and knowledge sources.
- Design transfer-with-context capabilities so authentication status, conversation history, customer intent, and relevant data are available to the live agent.
- Develop generative AI experiences using Azure AI Foundry and supported Microsoft models.
- Design grounding and retrieval approaches using approved enterprise knowledge sources.
- Establish prompt-engineering patterns, AI instructions, guardrails, and evaluation criteria.
- Design solutions that minimize hallucinations and ensure transactional actions remain controlled and auditable.
- Develop English and Spanish-language conversational experiences, including testing for intent accuracy, terminology, and customer usability.
- Work with business and contact-center teams to identify automation opportunities and determine where AI should versus should not be used.
- Define and measure conversational AI KPIs, including:
- Self-service containment
- Automation completion
- Transfer rate
- Abandonment
- Intent recognition
- Analyze conversational telemetry and continuously optimize dialogs, prompts, knowledge content, and routing.
- Collaborate with security, architecture, operations, legal, accessibility, and compliance teams.
- Support testing, UAT, production deployment, hypercare, and ongoing optimization.
Required Qualifications
- 3-5+ years of conversational AI, virtual-agent, chatbot, or IVR solution experience.
- Demonstrated experience delivering production conversational AI applications.
- Hands-on experience with Microsoft Copilot Studio.
- Experience designing integrations between conversational platforms and enterprise applications/APIs.
- Understanding of generative AI, prompt design, grounding, retrieval-augmented generation, and AI evaluation.
- Strong knowledge of conversational UX principles, including error handling, fallback, escalation, confirmation, and context management.
- Experience designing measurable self-service solutions rather than demonstration-only AI prototypes.
- Strong analytical, communication, and stakeholder-management skills.
Preferred Experience
- Dynamics 365 Contact Center and Customer Service.
- Microsoft Power Platform and Dataverse.
- Nuance or other enterprise IVR/conversational AI platforms.
- Tolling, transportation, government, utilities, or high-volume customer-service operations.
- English/Spanish bilingual conversational solutions.
- Knowledge-grounded generative AI.
- Authentication and transactional self-service.
- Contact-center analytics and containment optimization.
Preferred Certifications
- PL-200 - Microsoft Power Platform Functional Consultant
- AI-102 - Microsoft Azure AI Engineer Associate, or current equivalent
- Additional Copilot Studio, Power Platform, or Azure AI credentials are desirable