Collective Health is looking to transform how employers and their people engage with their health benefits by designing and implementing intelligent and natural conversational solutions using Google's CCAI suite.
Requirements
- Proven, hands-on experience in designing, building, and launching production-level conversational AI experiences is essential for success in this role.
- In-depth knowledge and practical experience with the Google Cloud Contact Center AI (CCAI) platform, including Dialogflow CX, Agent Assist, and CCAI Insights.
- Strong understanding of natural language understanding (NLU), natural language generation (NLG), multi-language support and the principles of conversational design.
- Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data
- Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management
- Experienced in prompt engineering, building, enhancing and maintaining custom RAG pipelines.
- Proficiency in javascript and in one or more languages such as Python or Java.
Responsibilities
- Lead the design, development, and deployment of sophisticated conversational AI applications on the Google CCAI platform to serve a variety of consumer and internal use cases.
- Architect and build robust, scalable, and maintainable conversational flows and virtual agents using Google Dialogflow CX and DialogFlow APIs.
- Integrate and optimize Google Agent Assist to empower our member-facing teams with real-time guidance and support.
- Leverage CCAI Insights to analyze conversation data, identify trends, and continuously improve the performance and effectiveness of our AI-driven interactions.
- Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence in the AI space.
- Collaborate closely with product managers, designers, and other engineering teams to define the product vision, roadmap, and user experience for conversational AI initiatives.
- Stay at the forefront of advancements in conversational AI, natural language processing (NLP), and large language models (LLMs), and champion the adoption of new technologies and best practices.
Other
- Manage stakeholder expectations and communicate technical concepts and project progress to both technical and non-technical audiences.
- Demonstrated ability to lead and mentor engineering teams, with a passion for sharing knowledge and fostering technical growth.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
- A strategic mindset with the ability to translate business needs into technical solutions and a long-term vision for conversational AI.
- This is a hybrid position based out of one of our offices: Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office two days per week.
