Lead Conversational AI Engineer — GenAI & Cloud Solutions

Capgemini

New York (NY)

On-site

USD 70,000 - 140,000

Full time

28 hours ago
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Benefits offered by this job

Paid time off
Medical & dental coverage
401(k) plan

Job summary

Capgemini in New York is seeking an experienced Forward Deployed Engineer to lead the design, development, and deployment of enterprise-grade conversational AI and customer experience solutions leveraging Google Cloud CCAI, CES, Gemini, Vertex AI, and Dialogflow CX.

You will architect AI-powered agents, build scalable backend services in Python, integrate with CRM/ERP, and run customer workshops to deliver production-ready deployments with measurable business impact.

Qualifications

  • Bachelor's degree or related field.
  • 5+ years of software engineering experience.
  • Experience implementing Google CCAI, Dialogflow CX, CES, and Vertex AI.
  • Experience designing enterprise Conversational AI solutions.

Responsibilities

  • Design, develop, and deploy conversational AI solutions using Dialogflow CX, Gemini, CCAI, and CES.
  • Architect AI-powered virtual agents, voice bots, digital assistants, and self-service experiences.
  • Develop scalable backend services in Python and integrate with enterprise systems.
  • Lead workshops, architecture reviews, and deployment planning.
  • Troubleshoot and optimize NLU, prompts, and production deployments.

Skills

Python development
Google Cloud Platform
Dialogflow CX
Vertex AI
REST APIs
microservices
customer-facing delivery

Education

Bachelor's degree in Computer Science/Engineering/IS

Tools

Gemini
Dialogflow CX
CES

Job description

Capgemini in New York is seeking an experienced Forward Deployed Engineer to lead the design, development, and deployment of enterprise-grade conversational AI and customer experience solutions leveraging Google Cloud CCAI, CES, Gemini, Vertex AI, and Dialogflow CX.

You will architect AI-powered agents, build scalable backend services in Python, integrate with CRM/ERP, and run customer workshops to deliver production-ready deployments with measurable business impact.

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