Google Agentic AI Delivery Specialist

Accenture; City of Albany (NY); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k)

Bonus opportunities

Job summary

Accenture is seeking a GCP Agentic AI Delivery Engineer to join its innovative team in Albany, New York. This role involves customizing Google Cloud solutions for clients and guiding teams in adopting product engineering principles. A successful candidate will possess at least three years of hands-on experience with Google Cloud technologies and demonstrate strong consulting skills.

The position offers a dynamic environment that encourages collaboration and continuous learning, with travel required based on project needs. Comprehensive benefits and a commitment to diversity make Accenture a great workplace.

Qualifications

• Minimum of 3 years in a client-facing technology role.
• Experience architecting solutions on GCP.
• Proven experience with Agentic AI solutions.

Responsibilities

• Participate in technical discovery workshops to translate client business needs into GCP solutions.
• Rapidly design and build proof-of-concept solutions on Google Cloud.
• Guide teams on agile principles and project delivery.

Skills

Google Cloud Platform (GCP)

Vertex AI

Application Modernization

Agile methodologies

Software engineering best practices

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Terraform

BigQuery

Google Data technologies

Job description

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 comfortable building a multi‑agent workflow on Vertex AI and testing others’ solutions, working in compressed timelines. You have a consultative mindset, curiosity to understand the “why” behind a client's business requirements, and convert them into optimal technology solutions. You are an evangelist for modern ways of working, grounded in Product‑Led engineering principles, and you are an exceptional communicator, team player, continuous learner, and believer in continual change.

The Work

As a GCP Agentic AI Delivery Engineer, you will be a technical and product‑centric engineer on consulting and engineering projects, customizing Google Cloud Agentic solutions for client requirements. You will partner with Accenture’s global delivery teams, providing superior technical expertise and product innovation skills. Your role is to execute complex technology solutions by designing, building, and demonstrating Agentic AI solutions while guiding others to adopt a Product Engineering mindset and serve as an expert on specific Google Cloud technologies.

Travel may be required for this role. The amount of travel will vary from 0% to 100% depending on business need and client requirements.

Key Responsibilities

• Outcome‑Driven Design and Build: Participate in technical discovery workshops to translate client business requirements into GCP technology design elements and customized solutions. Design, build, test, and deploy agentic‑first solutions on GCP that are directly tied to client business requirements.
• Hands‑On Development & Proof‑of‑Value: Rapidly design, build, and present compelling proof‑of‑concept solutions that demonstrate your Google Cloud proficiency. 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 structure delivery sprints for continuous delivery using Google Cloud Technologies.
• Team Collaboration: Work with global teams and leverage collaborative tools and channels for project delivery and status reporting. Ability to travel as needed for project meetings, workshops, or client discussions.

Requirements

• 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 with 12 years of work experience). If an Associate’s degree, must have minimum 6 years of work experience.

Preferred Qualifications

• Product & Agile Mindset: Experience working within a Product Operating Model and delivering agile projects with sprint‑based deliverables.
• Consulting & Innovation Acumen: Experience in client‑facing innovation workshops, converting ideas into outcome‑focused solutions, and strong communication skills.
• Agentic AI & Software Product Engineering: Proven experience architecting and building agentic workflows using Vertex AI, understanding of agentic components such as reasoning engines, planning, tool use, and Retrieval‑Augmented Generation (RAG), and hands‑on expertise with Google’s Gemini models. Commitment to software engineering best practices, CI/CD, automated testing, and secure, scalable product design.
• Technical Depth: Google Cloud Professional certifications (e.g., Professional Cloud Architect, Professional Machine Learning Engineer, Professional Data Engineer, GenAI Leader) and project experience across the GCP ecosystem, including GKE, BigQuery, Vertex AI, CES, Apigee, and other GCP technologies.

Compensation

Compensation is variable and depends on location, role, skill set, and level of experience. Additional benefits include medical, dental, vision, life insurance, long‑term disability, 401(k), bonus opportunities, paid holidays, and paid time off.

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 protected by federal, state, or local law. Our rich diversity makes us more innovative, competitive, and creative, which helps us better serve our clients and communities.

Accenture is an EEO and affirmative action employer of females, minorities, veterans, and individuals with disabilities. We are committed to providing veteran employment opportunities. Applicants for employment in the U.S. must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.