Senior CX AI Engineer — Gemini Enterprise on Google Cloud

Accenture

Miami (FL)

On-site

USD 90,000 - 180,000

Full time

13 days ago

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Benefits offered by this job

Medical
Dental
Vision
Life insurance
Long-term disability
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

Job summary

Accenture is seeking a hands-on Senior Engineer specializing in Google Gemini Enterprise for Customer Experience (GECX) solutions. You will work closely with clients and delivery teams to design and implement modern GECX capabilities on Google Cloud Platform, contributing to end-to-end project execution and client success.

Responsibilities include developing AI agents, CCaaS configurations, and integration within client architectures, with travel up to 100% as needed.

Qualifications

  • 3+ years in technology transformation (Conversational AI, CCaaS, or cloud-based contact center solutions).
  • 5+ years in contact center tech and best practices (AI agent building, CCaaS strategy, migration/implementation across platforms).
  • 5+ years aligning tech with benchmarks, metrics, and agent scorecards.
  • Bachelor's degree or equivalent work experience (12 years) or 6+ years with Associate’s degree.

Responsibilities

  • Develop and deploy end-to-end delivery lifecycle of complex, global service technology solutions for customer-channel projects.
  • Architect and advise on GECX offerings and client environments.
  • Design and engineer enterprise-ready AI agents with retrieval, orchestration, routing, tool invocation, evaluation, and observability.

Skills

Conversational AI
CCaaS
Cloud platforms
Client-facing
Agile methods

Education

Bachelor's degree or equivalent

Tools

GECX
Google Cloud Platform
Gemini Enterprise

Job description

Accenture is seeking a hands-on Senior Engineer specializing in Google Gemini Enterprise for Customer Experience (GECX) solutions. You will work closely with clients and delivery teams to design and implement modern GECX capabilities on Google Cloud Platform, contributing to end-to-end project execution and client success.

Responsibilities include developing AI agents, CCaaS configurations, and integration within client architectures, with travel up to 100% as needed.

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