Lead AI Engineer

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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