GenAI & AI Ops Engineer

East Hartford, CT, US • Posted 13 hours ago • Updated 13 hours ago
Contract Independent
Contract Corp To Corp
75% Travel Required
On-site
60+
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Analytics
  • Artificial Intelligence
  • Cisco
  • Cloud Computing
  • Continuous Delivery
  • Continuous Improvement
  • Continuous Integration
  • Customer Engagement
  • Customer Experience
  • Customer Relationship Management (CRM)
  • DevOps
  • Generative Artificial Intelligence (AI)
  • Genesys
  • Good Clinical Practice
  • Google Cloud
  • Google Cloud Platform
  • Incident Management
  • LangChain
  • Lifecycle Management
  • LlamaIndex
  • Machine Learning (ML)
  • Management
  • Node.js

Summary

We are seeking a GenAI & AI Ops Engineer to build, operate, and optimize AI-powered customer engagement systems using Google Cloud Contact Center AI (CCAI) and Generative AI technologies.This role focuses on ensuring the reliability, scalability, and performance of conversational AI solutions including Dialogflow CX virtual agents, Agent Assist, and LLM-powered assistants across digital and voice channels.You will work with AI engineers, DevOps teams, and contact center stakeholders to deliver high-quality AI-driven customer experiences. Key Responsibilities:Conversational AI Operations:Deploy and manage Google Cloud CCAI solutions including Dialogflow CX virtual agents and Agent Assist.Monitor and optimize conversational flows, intent accuracy, and containment rates.GenAI & LLM Operations:Operate LLM-powered assistants and knowledge-grounded chatbots.Manage prompt templates, RAG pipelines, and knowledge integrations.Monitor metrics such as response quality, hallucination rate, and latency.Monitoring & Reliability:Implement observability using Cloud Monitoring, Logging, and BigQuery analytics.Troubleshoot conversational AI issues and support incident response.Integration & Automation:Integrate AI assistants with enterprise systems such as CRM, ticketing systems, and knowledge bases.Develop APIs, webhooks, and automation for AI workflows.AI Lifecycle Management:Manage CI/CD pipelines, versioning, and releases for AI agents, prompts, and knowledge bases.Conduct testing and continuous improvement of AI performance. Required Skills:Experience with Google Cloud Platform (Google Cloud Platform) and Contact Center AI (CCAI).Hands-on experience with Dialogflow CX.Experience working with Generative AI / LLM applications.Proficiency in Python or Node.js.Experience with REST APIs and webhook integrations.Familiarity with monitoring, logging, and AI performance analytics.Preferred Qualifications:Experience with Vertex AI and RAG architectures.Familiarity with LangChain, LlamaIndex, or vector databases.Experience integrating with contact center platforms (Genesys, Five9, Cisco).Google Cloud certifications (Cloud Engineer or ML Engineer).

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: 91099306
  • Position Id: 8938604
  • Posted 13 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Hartford, Connecticut

Today

Easy Apply

Full-time, Part-time, Contract, Third Party

Hybrid in East Hartford, Connecticut

Today

Easy Apply

Third Party, Contract

Depends on Experience

Hartford, Connecticut

8d ago

Easy Apply

Third Party, Contract

Depends on Experience

Hartford, Connecticut

Today

Easy Apply

Contract, Third Party

Search all similar jobs