Google Agentic AI Delivery Senior Engineer

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 significant growth opportunities.

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. We combine deep ecosystem skills, a culture of change, and industry expertise to shape, move, build, and operate our clients’ businesses in the cloud. We accelerate customer transformation by leveraging world-class learning and talent development, deep experience in cloud change management, and cloud-ready operating models with a commitment to responsible business by design—embedding security, data privacy, responsible AI, sustainability, and ethics into the fundamental changes we help companies achieve.

About the Role

Join the elite technical and product engine of the Accenture Google Business Group (AGBG). We are a practice of innovators and builders guiding 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 "product-minded engineer" fluent in both code and customer outcomes. You leverage the best of Google Cloud technologies to help clients break free from legacy solutions and build modern, value-driven software products.

You are a passionate, hands-on GCP Senior Engineer who understands that great software solves real problems using the best available tools. You are comfortable building multi-agent workflows on Vertex AI, testing solutions under tight timelines, and leveraging Google Cloud’s ecosystem. With a consultative mindset, you explore the "why" behind business requirements and translate them into optimal technology solutions. You evangelize modern ways of working, grounded in Product-Led engineering principles, and thrive as an exceptional communicator, team player, and continuous learner.

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 directly tied to client business requirements.
• Rapidly design, build, and present compelling proof-of-concept (POC) solutions 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, guiding delivery teams on Product Agile Operating Model principles and structuring sprints for continuous delivery using Google Cloud Technologies.
• Collaborate with global teams, leveraging collaborative tools for project delivery and status reporting. Travel may be required (0–100% depending on business need and client requirements).

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent (minimum 12 years) work experience. (If Associate’s Degree, minimum 6 years work experience).
• 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, with at least 4 years in GCP.
• Minimum of 3 years of experience interacting with globally distributed project teams.
• Well-versed in project management and product/project testing methodologies.
• Minimum of 3 years of proven experience on Google Cloud technologies or minimum of 1 year of implementation experience on Agentic systems (e.g., Google Gemini Enterprise, Microsoft Azure Foundry, Microsoft Co-Pilot, AWS Bedrock).

Skills

• Product & Agile Mindset: Hands-on experience working within a Product Operating Model; practical experience delivering agile projects and contributing to sprint-based outcomes.
• Consulting & Innovation Acumen: Experience in client-facing innovation workshops, converting ideas into outcome-focused solutions; world-class communication skills for articulating project status and challenges.
• Agentic AI & Software Product Engineering: Proven experience architecting and building agentic workflows using Vertex AI; deep understanding of reasoning engines, planning, tool use, and Retrieval-Augmented Generation (RAG); hands-on expertise with Google’s Gemini models; commitment to software engineering best practices (CI/CD, automated testing, secure/scalable products).
• Technical Depth: Multiple Google Cloud Professional certifications (e.g., Professional Cloud Architect, Professional Machine Learning Engineer, Professional Data Engineer, GenAI Leader); project experience across GCP ecosystem (GKE, BigQuery, Vertex AI, CES, Apigee, etc.).

Benefits

Accenture offers a market-competitive suite of benefits, including:

• Medical, dental, vision, life, and long-term disability coverage.
• 401(k) plan with bonus opportunities.
• Paid holidays and paid time off.

See more information on our benefits here.

Pay

Compensation varies based on factors such as location, role, skill set, and experience. The following ranges reflect the anticipated annual salary for this role in select U.S. locations:

• California: $94,400 to $266,300
• Cleveland: $87,400 to $213,000
• Colorado: $94,400 to $230,000
• District of Columbia: $100,500 to $245,000
• Illinois: $87,400 to $230,000
• Maine: $80,400 to $196,000
• Maryland: $94,400 to $230,000
• Massachusetts: $94,400 to $245,000
• Minnesota: $94,400 to $230,000
• New York: $87,400 to $266,300
• New Jersey: $100,500 to $266,300
• Virginia: $87,400 to $245,000
• Washington: $100,500 to $245,000