Google Agentic AI Delivery Specialist
We are:
A leading partner to the world’s major cloud providers, including AWS, Azure, and Google. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most and offers huge growth opportunities for you! Our Cloud First group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud. To accelerate our customers transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.
About the Role: Building the Future in the Age of Agents
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.
You Are:
A passionate, hands-on GCP specialist/practitioner who understands that great software is not just about elegant code, but about solving real problems leveraging the best technology tools available for a client. You are as comfortable building a multi-agent workflow on Vertex AI as you are testing a solution built by other team members in a compressed timeline, leveraging the various tools and technologies of Google Cloud. You have a consultative mindset and a deep curiosity to understand the "why" behind a client's business requirements and convert them to an optimal technology solution. You are an evangelist for modern ways of working, grounded in the principles of Product-Led engineering and operating models and related approaches. You are an exceptional communicator, great team player, continuous learner and a true believer in continual change.
The Work:
As a GCP Agentic AI Delivery Engineer, you will be a technical and product-centric engineer in consulting and engineering projects, customizing Google Cloud Agentic solutions for client requirements. You will partner with Accenture's global delivery teams by providing superior technical expertise and product innovation skills. Your role is to execute complex technology solutions for our clients by designing, building, and demonstrating Agentic AI solutions. You will act as a trusted team player, guiding others in the team on how to adopt a Product Engineering mindset and be the expert on specific Google Cloud technologies/products.
Key Responsibilities:
Outcome-Driven Design and Build: 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.
Hands-On Development & Proof-of-Value: 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.
Product-Led Project delivery: 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.
Team Collaboration: 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.
Here's what you need
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Minimum of 3 years of experience in a hands-on, client-facing technology role (e.g., Google Cloud Engineer, Product Engineer, Technology Consultant).
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Minimum of 3 years of deep, hands-on experience architecting and building solutions on GCP.
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Minimum of 2 years of proven experience with Application Modernization, Call Center AI and/or Agentic AI solutions leveraging Google Cloud technologies.
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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.
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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
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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.
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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.
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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.
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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.
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