Google Agentic AI Delivery Specialist

About the role

Join the elite technical and product engine of the Accenture Google Business Group (AGBG). We are not a traditional project delivery organization; we are a practice of innovators and builders guiding our clients through the most significant shift in technology: the move to Agentic AI and Product-Led Operating Models. As a Google Cloud Platform (GCP) Agentic AI Delivery Engineer, you are a new breed of technologist—a "product-minded engineer" who is as fluent in the language of code as you are in the language of customer outcomes. You don't just build solutions; you leverage the best of technologies Google Cloud has to offer for client requirements, helping clients break free from legacy solution mindset and practices to build truly modern, value-driven software products on Google Cloud.

Here's what you need

• Minimum of 3 years of experience in a hands-on, client-facing technology role (e.g., Google Cloud Engineer, Product Engineer, Technology Consultant).
• 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. Well versed in project management methodologies and product/project testing methodologies.
• Bachelor's degree in Computer Science, Engineering, or a related field or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience).

Bonus points if you have

• Product & Agile Mindset: Hands-on experience working within a Product Operating Model. Practical experience in delivering agile projects, contributing to sprint-based deliverables and outcomes.
• Consulting & Innovation Acumen: Experience participating in client-facing innovation workshops and converting ideas into outcome-focused solutions. World-class communication skills to articulate project status and delivery challenges and issues to project leadership and client audiences.
• Agentic AI & Software Product Engineering: Proven experience architecting and building agentic workflows using Vertex AI. Deep understanding of agentic components, including reasoning engines, planning, tool use, and Retrieval-Augmented Generation (RAG). Hands-on expertise with Google's Gemini models. A commitment to software engineering best practices, including CI/CD, automated testing, and building secure, scalable products.
• Technical Depth: Google Cloud Professional certifications (e.g., Professional Cloud Architect, Professional Machine Learning Engineer, Professional Data Engineer, GenAI Leader). Project experience across the GCP ecosystem, including GKE, BigQuery, Vertex AI, CES, Apigee, and other GCP technologies.

Compensation

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

Role Location

The role location and annual salary range vary based on the specific office location, role, and skill set. Please refer to the provided table for details.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.