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About the Role
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.
Responsibilities
- 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.
Requirements
- 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.
Skills
- Python
- Google Cloud Platform (GCP)
- Dialogflow CX
- Gemini
- Vertex AI
- Google Cloud Contact Center AI (CCAI)
- Customer Engagement Suite (CES)
- Generative AI
- Retrieval Augmented Generation (RAG)
- Vector Search
- Agentic AI
- Knowledge Grounding
- REST APIs
- Microservices
- Cloud-native architecture
- System integrations
- Vertex AI Agent Builder
- Multi-Agent Systems
Location
- New York, NY
Work Type
- Full-time
Experience Level
- 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.
Education Level
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Salary/Compensations
- $70,000 to $140,000
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
About the Company
- Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.