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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Google Cloud Platform Agentic AI Delivery Engineer - **Company:** Accenture - **Location:** Cleveland, OH, United States - **Experience:** Experienced - **Salary:** $70,350.0 - $196,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Automation of Tests, BigQuery, Cloud Computing, Collaborative Software, Continuous Delivery, Continuous Integration, Corona (Software Development Kit), Data Systems, Machine Learning, Software Construction, Software Engineering, Google Cloud, Multi-Agent Systems, Generative AI, Apigee, Build Management, Information Technology, Virtual Agents, Terraform - **Published:** June 19, 2026 - **Apply:** https://www.dice.com/job-detail/9574e28b-1e4a-49bc-8cd5-9b6e6b3049f5 ## About the Role A passionate, hands-on Google Cloud Platform 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., * 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 Google Cloud Platform. * 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 Google Cloud Platform ecosystem, including GKE, BigQuery, Vertex AI, CES, Apigee, and other Google Cloud Platform technologies. ## Description As a Google Cloud Platform 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., * Outcome-Driven Design and Build: Actively participate in technical discovery workshops to translate client business requirements into Google Cloud Platform technology design elements and customized solutions. Design, build, test and deploy innovative, agentic-first solutions on Google Cloud Platform 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. ## Related Videos - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) ## Related Articles - [Got AI ideas but no money? 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