Google Cloud Platform CCAI Tech Lead

Remote • Posted 6 hours ago • Updated 6 hours ago
Contract W2
Contract Independent
1 Year
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • CCAI Architect

Summary

Sr. Google CCAI Engineer

Remote + Travel to Client on Own Expenses

 

Role Summary:

 

We are seeking a Senior AI / Cloud Engineer to implement and extend Real-Time Call Listening and Agent Assist platform built using Google Contact Center AI (CCAI).

The role also involves contributing to broader AI and Generative AI solution architecture, including the design and evolution of event-driven, cloud-native services that leverage enterprise-approved LLMs to deliver real-time insights, guidance, and automation across contact center and agent-facing applications.

 

Key Responsibilities

 

Maintain and evolve event-driven contact center services built on CCAI and Google Cloud Platform that process real-time customer interactions and deliver contextual insights, recommendations, or guidance to agent-facing applications during live engagements.

Design and implement GenAI solution architectures using enterprise-approved LLMs and cloud platforms

Define reference architectures for GenAI components (LLMs, vector stores, APIs, orchestration layers)

 

Required Skills & Experience

 

Core Focus (Must-Have): Hands-on experience with Google Cloud Platform, especially Contact Center AI (CCAI), Agent Assist, Dialogflow Pub/Sub, Cloud Run, IAM, service accounts

Experience building or supporting real-time / streaming systems

Strong backend development skills (Python)Docker and cloud-native microservices

Generative AI / ML (Required)Experience delivering LLM-based solutions in production

Familiarity with RAG architectures, vector search, and evaluation

Prompt engineering and response quality tuning

Understanding of responsible AI, privacy, and security considerations

 

Nice to Have

 

Telephony or contact-center platforms (SIPREC, Genesys, VoIP)

Redis or other low-latency data stores

Kubernetes / HelmAzure services (AKS, Azure OpenAI) in hybrid cloud setups

Observability tools (logging, metrics, tracing)

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: 10335759
  • Position Id: 28935-17456-1786544225
  • Posted 6 hours ago
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