Conversational AI & Knowledge Engineer

Job Role: Conversational AI & Knowledge Engineer

Location

Remote (Candidate should be flexible to travel once a month for client meeting at Hartford, CT OR Minneapolis, MN)

Contract: Contract

Skill Cluster: AILab-GENAI-Google Cloud Platform.

Primary Skill: Conversational AI, Pega Voice AI, Google Cloud Platform

Job Description: Job Requirements

Role summary

Apply deep data and domain expertise to intents and AI, and design production-ready conversational-AI environments while developing into leadership of the AI delivery workstream.

Core responsibilities

• Build reusable conversational-AI solutions for payer and provider journeys.
• Apply data and healthcare expertise to intents, entities, context, prompts, knowledge structures, and AI behavior.
• Design RAG and knowledge-grounding patterns and integrate AI with enterprise data sources and APIs.
• Configure voice and digital conversations, guardrails, escalation logic, fallbacks, and human handoffs.
• Evaluate accuracy, groundedness, task completion, hallucination risk, latency, and escalation quality.
• Package reusable prompts, knowledge assets, conversation patterns, configurations, and evaluation sets.
• Grow into ownership from use case and data requirements through AI design, evaluation, acceptance, and production readiness.

Candidate profile

• Hands-on conversational AI or generative AI delivery experience.
• Depth in data, intents, entities, LLMs, RAG, knowledge, prompt design, conversation design, integration, and evaluation.
• Healthcare payer/provider experience strongly preferred.
• Breadth and ownership mindset to grow into AI delivery leadership.

Work Experience: 15-30 Years