Senior Google Cloud AI Engineer- 5+ yrs- New York, New York- Onsite

New York, NY, US • Posted 5 hours ago • Updated 5 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
6 Months
No Travel Required
On-site
Depends on Experience
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Google Cloud Platform
  • especially Contact Center AI (CCAI)
  • Agent Assist
  • DialogflowPub/Sub
  • Cloud Run
  • IAM
  • service accountsExperience building or supporting real-time / streaming systemsStrong backend development skills (Python)Docker and cloud-native microservicesGenerative AI / ML (Required)Experience delivering LLM-based solutions in productionFamiliarity with RAG architectures
  • vector search
  • and evaluationPrompt engineering and response quality tuningUnderstanding of responsible AI
  • privacy
  • and security considerationsNice to HaveTelephony or contact-center platforms (SIPREC
  • Genesys
  • VoIP)Redis or other low-latency data storesKubernetes / HelmAzure services (AKS
  • Azure OpenAI) in hybrid cloud setupsObservability tools (logging
  • metrics
  • tracing)

Summary

Job Description :

2. JD Sr. Google CCAI EngineerRole SummaryWe 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 ResponsibilitiesMaintain 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 platformsDefine reference architectures for GenAI components (LLMs, vector stores, APIs, orchestration layers)Required Skills & ExperienceCore Focus (Must-Have)Hands-on experience with Google Cloud Platform, especially Contact Center AI (CCAI), Agent Assist, DialogflowPub/Sub, Cloud Run, IAM, service accountsExperience building or supporting real-time / streaming systemsStrong backend development skills (Python)Docker and cloud-native microservicesGenerative AI / ML (Required)Experience delivering LLM-based solutions in productionFamiliarity with RAG architectures, vector search, and evaluationPrompt engineering and response quality tuningUnderstanding of responsible AI, privacy, and security considerationsNice to HaveTelephony or contact-center platforms (SIPREC, Genesys, VoIP)Redis or other low-latency data storesKubernetes / HelmAzure services (AKS, Azure OpenAI) in hybrid cloud setupsObservability 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: 91143549
  • Position Id: 4589-31204-1785167713
  • Posted 5 hours ago

Company Info

About iMedhas Consulting Services

Welcome to iMedhas Consulting Services. We are an IT consulting and services enterprises with precision expertise in Digital Transformations, Big data and Analytics. Through our expert team, we provide greater adaptabilities to disseminate with new technologies to increase the overall productivity, operational efficiency, and productivity of a particular business process of an organization.

The goal is the achievement of higher customer satisfaction and providing lucrative returns on investment to the business. On the other hand, we deliver content management expertise, ERP (SAP) systems integration, EAI, and Information Management services.

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