Forward Deployed Engineer

Capgemini; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Capgemini is seeking an experienced Forward Deployed Engineer to lead the design, development, and deployment of enterprise-grade Conversational AI solutions on Google Cloud (CCAI, CES, Vertex AI, Dialogflow CX).

You will work with Fortune 500 clients to architect scalable AI-powered agents, integrate with CRM/ERP, and drive production deployments. Strong Python and cloud-native skills required; prior client-facing delivery is a plus.

Qualifications

• 5+ years of software engineering experience with strong expertise in Python.
• Hands-on experience implementing Google Cloud Contact Center AI (CCAI), Dialogflow CX, 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.

Responsibilities

• Design, develop, and deploy conversational AI solutions using Dialogflow CX, Gemini-powered Conversational Agents, CCAI, and 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.

Skills

Python

Dialogflow CX

REST APIs

Microservices

Cloud-native architecture

Customer engagements

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Gemini

Vertex AI

Dialogflow CX

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.

Key Responsibilities

Design, develop, and deploy conversational AI solutions usin Dialogflow CX, Gemini-powered Conversational Agents, CCAI, and Customer Engagement Suite (CES).

Architect and build AI-powered virtual agents, voice bots, digital assistants, agent asist, and self-service customer experience solutions.

Develop scalable backend services and integrations using Python and Google Cloud srvices.

Implement and optimize Generative AI, Retrieval Augmented Generation (RAG), Vector Sarch, Agentic AI, and Knowledge Grounding capabilities.

Integrate AI solutions with enterprise platforms including CRM, Contact Center, ERP, Kowledge Management, and custom APIs.

Build and deploy cloud-native applications using Vertex AI, Cloud Run, Cloud Functios, 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, onversation flows, and production deployments.

Collaborate closely with customer engineering teams to establish best practices, accelrate adoption, and deliver measurable business outcomes.

Required Skills and Experience

Bachelor's degree in Computer Science, Engineering, Inforation 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, Cusomer Engagement Suite (CES), and Vertex AI.

Experience designing and delivering enterprise Conversational AI and Generative AI soltions.

Strong experience with REST APIs, microservices, cloud-native architecture, and system integrations.

Experience working directly with enterprise customers and leading technical engagements.

Preferred Qualifications

Experience with Gemini, Vertex AI Agent Builder, RAG architectures, Vector Databases, and Multi-Agent Systems.

Experience modernizing enterprise contact centers and customer service operations.

Gogle Cloud Professional Certifications preferred.

Required Technical Skills

Python (Primary Development Language)

Dialogflow CX

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 CCAICES solutions, deploy Gemini-powered conversational experiences, and partner directly with enterprise customers to take AI solutions from concept to production."