GCP Agentic AI Delivery Engineer

Accenture

Saint Petersburg (FL)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Accenture seeks a Google Cloud Platform (GCP) Agentic AI Delivery Engineer to join the AGBG. You’ll build value-driven software products on Google Cloud, integrating Vertex AI, Gemini/Agentic AI, and BigQuery to meet client outcomes.

This role blends engineering craft with product mindset and requires collaboration across global delivery teams. You’ll guide teams in adopting Product‑Led engineering, demonstrate solutions, and travel as needed to advance client projects in a fast-paced cloud

Qualifications

  • Minimum of 3 years of experience in a hands‑on, client‑facing technology role.
  • Minimum of 3 years of deep, hands‑on experience architecting and building solutions on GCP.
  • Minimum of 2 years of proven experience with Application Modernization, Call Center AI and/or Agentic AI solutions leveraging Google Cloud technologies.
  • Minimum of 2 years of experience interacting with project team members distributed across the globe.
  • Bachelor’s degree in Computer Science, Engineering, or related field or equivalent work experience.

Responsibilities

  • Translate client requirements into GCP design and customized solutions.
  • Design, build, test and deploy agentic AI solutions on GCP.
  • Coach teams on Product‑Led engineering and agile delivery.
  • Collaborate with global delivery teams and travel as needed.

Skills

GCP experience
Client-facing tech role
Google Cloud

Education

Bachelor’s degree in CS/Engineering

Tools

Vertex AI
Gemini/Agentic AI
BigQuery
Terraform
CI/CD
Google Data technologies

Job description

Accenture seeks a Google Cloud Platform (GCP) Agentic AI Delivery Engineer to join the AGBG. You’ll build value-driven software products on Google Cloud, integrating Vertex AI, Gemini/Agentic AI, and BigQuery to meet client outcomes.

This role blends engineering craft with product mindset and requires collaboration across global delivery teams. You’ll guide teams in adopting Product‑Led engineering, demonstrate solutions, and travel as needed to advance client projects in a fast-paced cloud

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