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Lead CCAI Expert

Sidmans

Hybrid in East Hartford, Connecticut • 5d ago

Easy Apply

Contract, Third Party

Depends on Experience

Job Details

Skills

CCAI
Google Cloud Platform
(Python)
Docker
Generative AI

Summary

Role: Lead CCAI Expert

Location: Hartford, CT

Duration: 12+ Months Contract

Job Description:

Lead Google CCAI ExpertRole SummaryWe are seeking a Lead AI / Cloud Expert 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: 91072836
Position Id: 9038613
Posted 7 days ago

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Contact the job poster

Sarath Kumar Narayanas

Recruiter @ Sidmans

View Profile

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Job Details

Skills

CCAI
Google Cloud Platform
(Python)
Docker
Generative AI

Summary

Role: Lead CCAI Expert

Location: Hartford, CT

Duration: 12+ Months Contract

Job Description:

Lead Google CCAI ExpertRole SummaryWe are seeking a Lead AI / Cloud Expert 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)

Dice Id: 91072836
Position Id: 9038613
Posted 7 days ago

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Contact the job poster

Sarath Kumar Narayanas

Recruiter @ Sidmans

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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