Lead AI Developer / Forward Deployed Engineer

San Jose, CA, US • Posted 14 hours ago • Updated 14 hours ago
Contract W2
12 Months
50% Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • GECX
  • Google Gemini
  • CCAI
  • Dialogflow
  • Python
  • Terraform

Summary

Job Title: Lead Applied AI Developer / Forward Deployed Engineer

Location: San Jose, CA
Duration: 6+ Months Contract
Travel: Up to 50%

Job Description:

We are seeking experienced Lead Applied AI Developers / Forward Deployed Engineers to design, develop, and deploy enterprise Conversational AI and Agentic AI solutions using Google Cloud technologies.

The ideal candidate will have strong hands-on experience with Google Gemini, Conversational AI, CCAI, Dialogflow CX, Google Cloud Platform, and Python, along with experience taking AI solutions from prototype to production.

Responsibilities:

  • Design, develop, and deploy enterprise Conversational AI and Agentic AI solutions
  • Utilize Google Gemini, CCAI, and Dialogflow/Dialogflow CX
  • Work with Google Cloud Platform (Google Cloud Platform) to implement AI solutions
  • Develop AI agents and multi-agent workflows
  • Implement ReAct, self-reflection, and agentic architectures
  • Build and maintain enterprise knowledge bases
  • Integrate APIs and microservices
  • Utilize Terraform for Infrastructure as Code
  • Evaluate, trace, monitor, and ensure observability of AI applications
  • Deploy AI applications into production
  • Troubleshoot and debug AI solutions as needed
  • Communicate effectively with customers and stakeholders
  • Travel up to 50% as required

Requirements:

  • Strong experience with Conversational AI and Agentic AI
  • Hands-on experience with Google Gemini, CCAI, and Dialogflow/Dialogflow CX
  • Strong Google Cloud Platform (Google Cloud Platform) experience
  • 5+ years of professional Python development
  • Experience building AI agents and multi-agent workflows
  • Knowledge of ReAct, self-reflection, and agentic architectures
  • Experience with RAG and enterprise knowledge bases
  • API and microservices integration
  • Terraform / Infrastructure as Code
  • AI evaluation, tracing, monitoring, and observability
  • Experience deploying AI applications into production
  • Strong troubleshooting and debugging skills
  • Excellent communication and customer-facing skills
  • Willingness to travel up to 50%
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91132105
  • Position Id: 9081286
  • Posted 14 hours ago
Contact the job poster
NM

Nagender Muralidhar

Recruiter @ Select Jarvis.com
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