Google Agentic AI Delivery Senior Engineer

Accenture•Kirkland, WA

4d•$80,400 - $266,300•Hybrid

About The Position

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 Senior 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.

Requirements

Minimum of 5 years of experience in a hands-on, client-facing technology role (e.g., Google Cloud Engineer, Product Engineer, Technology Consultant).
Minimum of 5 years of deep, hands-on experience architecting and building solutions on AWS/Azure/GCP, of which 4 years in GCP.
Minimum of 3 years of proven experience with Application Modernization, Call Center AI and/or Agentic AI solutions leveraging Google Cloud technologies.
Minimum of 3 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).

Nice To Haves

Hands-on experience working within a Product Operating Model.
Practical experience in delivering agile projects, contributing to sprint based deliverables and outcomes.
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.
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.
Multiple 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.

Responsibilities

Actively participate in technical discovery workshops to translate client business requirements into GCP technology design elements and customized solutions.
Design, build, test and deploy innovative, agentic-first solutions on GCP that are directly tied to the client business requirements.
Rapidly design, build, and present compelling proof-of-concept (POC) solutions that bring your Google Cloud proficiency to workable solutions. This includes hands-on software engineering using Vertex AI, Gemini/Agentic AI, BigQuery, Google Data technologies, Terraform, and modern CI/CD practices.
Act as an agile SME/coach on modern software development. Guide and enable the delivery team on the principles of the Product Agile Operating Model and how to structure delivery sprints for continuous delivery using Google Cloud Technologies.
Ability to travel as needed for project meetings, workshops, client discussions, etc., Working with global teams and leveraging the various collaborative tools and channels for project delivery and status reporting. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements