CX AI Architect: Gemini Enterprise on Google Cloud

Accenture

Miami (FL)

On-site

USD 120,000 - 190,000

Full time

14 days+
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Job summary

Accenture is seeking a hands-on Google GECX Specialist to join the Cloud First / AGBG practice. You will work directly with clients, supporting senior architects, and contribute to end-to-end project delivery of complex, global GECX solutions leveraging Gemini and Google Cloud platform.

Travel may be required as projects vary in scope and location. You will collaborate with delivery teams to architect, design, and implement AI-driven CCaaS solutions, including agent orchestration, policy-based

Qualifications

  • Minimum 3 years in technology transformation with focus on Conversational AI, CCaaS or cloud-based contact center solutions.
  • Experience with Contact Center technologies and industry best practices, including AI Agent building and CCaaS migration.
  • Bachelor's degree or equivalent work experience; 12+ years total if no degree.

Responsibilities

  • Develop and implement Google GECX aligned with architecture and business goals.
  • Stay abreast of industry trends to inform transformation strategies.
  • Identify opportunities to drive growth and enhance value of GECX solutions.
  • Work with clients to develop end-to-end delivery lifecycle for complex solutions.
  • Plan, estimate, and manage delivery with agile approach; coordinate on-shore/off-shore teams.

Skills

GECX Solutions
Client-facing delivery
CCaaS / Contact Center
Conversational AI
Project management

Education

Bachelor's degree or equivalent

Tools

Google Cloud Platform
Gemini Enterprise
BigQuery
Looker
Vertex AI

Job description

Accenture is seeking a hands-on Google GECX Specialist to join the Cloud First / AGBG practice. You will work directly with clients, supporting senior architects, and contribute to end-to-end project delivery of complex, global GECX solutions leveraging Gemini and Google Cloud platform.

Travel may be required as projects vary in scope and location. You will collaborate with delivery teams to architect, design, and implement AI-driven CCaaS solutions, including agent orchestration, policy-based

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