Forward Deployed Engineer Gemini Enterprise for Customer Experience

Position Title: Forward Deployed Engineer – Gemini Enterprise for Customer Experience
Location: REMOTE
Duration: Long Term Contract
 
Job description:
We are seeking an experienced Forward Deployed Engineer (FDE) to lead the design, development, and deployment of enterprise-grade Conversational AI and Customer Experience solutions leveraging Google Cloud Contact Center AI (CCAI), Customer Engagement Suite (CES), Gemini, Vertex AI, and Dialogflow CX. This role combines software engineering, AI solution architecture, and customer-facing delivery to help strategic clients transform contact center and customer service operations through Generative AI.
 
Experience:
5-10 years of experience in Software Engineering, AI Engineering, Conversational AI, Contact Center Technologies, or Cloud Solution Delivery with proven success delivering customer-facing AI solutions on Google Cloud.
 
Ideal Candidate:
A hands-on engineer who can code in Python, architect Google CCAI CES solutions, deploy Gemini-powered conversational experiences, and partner directly with enterprise customers to take AI solutions from concept to production.
 
Basic Qualifications:

• Bachelor’s degree in computer science, Engineering, Information Systems, or related field.
• 5 years of software engineering experience with strong expertise in Python.
• Hands-on experience implementing Google Contact Center AI (CCAI), Dialogflow CX, Customer Engagement Suite (CES), and Vertex AI.
• Experience designing and delivering enterprise Conversational AI and Generative AI solutions.
• Strong experience with REST APIs, microservices, cloud-native architecture, and system integrations.
• Experience working directly with enterprise customers and leading technical engagements.

• Python (Primary Development Language)
• Google Cloud Platform (GCP)
• Dialogflow CX

• Experience with Gemini, Vertex AI Agent Builder, RAG architectures, Vector Databases, and Multi-Agent Systems.
• Experience modernizing enterprise contact centers and customer service operations.
• Google Cloud Professional Certifications preferred.

• Design, develop, and deploy conversational AI solutions using Dialogflow CX, Gemini-powered Conversational Agents, CCAI, and Customer Engagement Suite (CES).
• Architect and build AI-powered virtual agents, voice bots, digital assistants, agent assist, and self-service customer experience solutions.
• Develop scalable backend services and integrations using Python and Google Cloud services.
• Implement and optimize Generative AI, Retrieval Augmented Generation (RAG), Vector Search, Agentic AI, and Knowledge Grounding capabilities.
• Integrate AI solutions with enterprise platforms including CRM, Contact Center, ERP, Knowledge Management, and custom APIs.
• Build and deploy cloud-native applications using Vertex AI, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, GKE, and API Gateway.
• Lead customer workshops, technical discovery sessions, architecture reviews, and implementation planning.
• Troubleshoot and optimize conversational design, NLU performance, prompt engineering, conversation flows, and production deployments.
• Collaborate closely with customer engineering teams to establish best practices, accelerate adoption, and deliver measurable business outcomes.