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# Google Cloud Engineer - Senior Associate

- **Company:** PwC
- **Location:** Portland, OR, United States
- **Experience:** Expert
- **Salary:** $77,000 - $202,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Database, Cloud Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), Machine Learning, Natural Language Processing, Cloud Services, Systems Integration, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Google Vertex AI, Generative AI, Data Analytics, Machine Learning Operations, Evaluation of Large Language Models
- **Published:** November 11, 2026
- **Apply:** https://dejobs.org/x/x/5160A7CB5A124BF6B3285876D34D5647/job/

## About the Role

What You Must Have

 * At least a Bachelor's degree
 * At least 3 years of experience

What Sets You Apart

 * Google Cloud Engineer, Senior Associate experience in client support
 * Generative AI delivery experience across data modernization programs
 * Python, Google Vertex AI, and LLM APIs familiarity
 * Agent orchestration, LLMOps, and retrieval-augmented generation exposure
 * Cloud engineering background across AWS, Azure, and Google Cloud
 * Translating business needs into scalable AI-enabled solutions

## Description

As a Google Cloud Engineer - Senior Associate you will support the design, build, and delivery of cloud-based data and analytics solutions within our Advisory practice, with a focus on Data Modernisation and Cloud Engineering, Data & Analytics. As a Senior Associate you will analyze complex problems, manage assigned workstreams, mentor junior team members, and apply client-focused judgment while building meaningful relationships and developing a deeper understanding of the business context. In this role at PwC, you will contribute to Google Cloud platform engineering, data integration, ETL, and modern cloud architectures that help clients move from legacy environments to scalable, data-driven solutions., * Designing and developing Google Cloud and Generative AI solutions that support client data modernization efforts

 * Building agentic workflows, retrieval-augmented generation patterns, and prompt engineering approaches for practical business use cases
 * Integrating LLM APIs, Google Vertex AI, vector databases, and cloud services into scalable solution designs
 * Applying LLM evaluation, guardrails, and LLMOps practices to validate model behavior, reliability, and responsible deployment
 * Translating client requirements into technical designs for AI-powered contact center solutions and conversational applications
 * Writing and maintaining Python-based components that support machine learning, natural language processing, and orchestration workflows
 * Interpreting data and technical feedback to refine solution logic, improve response quality, and address implementation gaps
 * Collaborating with client stakeholders and junior team members to manage assigned workstreams, share progress, and mentor on delivery tasks

## About PwC

When you work with PwC's Engineering, you work with builders who live and breathe advanced software-building techniques. AI-native by design and outcomes-driven, we execute at speed and at scale. We build the technology that powers modern business, from core cloud platforms to data and AI, from digital products to modern operations. We architect and orchestrate your cloud, AI, and data into one intelligent, evolving system — so you're built for what's next, not just what's now, with confidenc...
**Industries:** Consulting

- **Size:** 5,001+ employees
- **HQ:** New York, United States of America


[Company profile](https://www.wearedevelopers.com/companies/136-pwc)