Job Title: Conversational AI Tech Lead (Google CCAI / Gemini)
Industry: Fortune 50 Corporation / Healthcare Solutions
Location: United States (Remote/Hybrid)
Job Type: Contract / Full-Time
Pay Range: Up to 101.50 hr on 1099/Corp, w2 also an option with benefits
Overview:
We’re looking for a Conversational AI Tech Lead to drive the design and delivery of next-generation AI-powered solutions for customer engagement. This role focuses on building intelligent conversational systems using Google’s CCAI ecosystem, including Gemini, Dialogflow CX, and Agent Assist, to enhance both agent productivity and customer experience.
Key Responsibilities:
- Lead the design, development, and deployment of conversational AI solutions
- Build AI-driven agent assist solutions using Google Gemini and CCAI tools
- Configure and optimize Dialogflow CX, Agent Assist, and Conversational Agents
- Integrate AI solutions with contact center platforms (Genesys, Verint) and CRM systems (Salesforce, SAP)
- Collaborate with business and technical stakeholders to translate requirements into scalable AI solutions
- Manage knowledge bases, Smart Reply models, and allowlists within Agent Assist
- Ensure performance, scalability, and security across AI applications
- Troubleshoot and optimize conversational AI workflows and integrations
Required Qualifications:
- 7+ years of software engineering experience with 2+ years in a technical leadership role
- Strong programming skills in Python, Java, or JavaScript
- Hands-on experience with conversational AI platforms (Dialogflow CX, RASA, or Bot Framework)
- Experience with Google Cloud Platform (GCP) and CCAI tools (Agent Assist, Dialogflow CX, Gemini)
- Solid understanding of NLP, machine learning, and conversational design
- Experience integrating APIs and backend systems with conversational interfaces
- Experience working with contact center technologies or customer engagement platforms
Preferred Qualifications:
- Experience with speech analytics and IVA (Intelligent Virtual Assistants)
- Knowledge of CRM systems such as Salesforce or SAP
- Familiarity with AWS or Azure in addition to GCP
- Experience optimizing AI models using data analysis and performance metrics
- Background in customer experience transformation or digital contact centers
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