Google Cloud Engineer, Associate
PwC
This job at a glance
- Who can apply
- 1 year+ of experience · Bachelor's degree
- Must know
- GCPETLTroubleshootingLLMsREST APIsPython
- Work
- On-site in Denver
- Pay
- Not stated by the employer.
- Skill demand
- Troubleshooting58%GCP56%LLMs13%ETL9%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 10, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
As a Google Cloud Engineer, Experienced Associate at PwC, you will support cloud engineering efforts within our Advisory practice, contributing to data modernization work that helps clients move legacy data environments toward cloud-native architectures on Google Cloud Platform. You will learn through hands-on project work, build technical acumen, and bring curiosity, adaptability, and reliability to a fast-paced environment while supporting senior staff and developing your personal brand.
In this role, you will help design, build, integrate, and maintain cloud and data solutions that support data platform modernization, ETL processes, and analytics use cases across Google Cloud and broader multi-cloud environments. You will also participate in troubleshooting, research, and project tasks, developing a deeper understanding of software engineering methods, cloud infrastructure, and how data modernization work supports business goals.
Key Responsibilities
- Supporting client engagements by developing Google Cloud solutions for data modernization and generative AI use cases
- Building and configuring Google Vertex AI, LLM APIs, and vector database components for scalable AI-enabled applications
- Developing Python-based workflows for prompt engineering, retrieval-augmented generation, and agent orchestration
- Testing and refining LLM evaluation, guardrails, and LLMOps processes to improve reliability and model performance
- Collaborating on cloud engineering tasks across data platforms, integration, and analytics modernization efforts
- Applying natural language processing and machine learning concepts to create practical AI and data solutions
- Using digital tooling and context engineering methods to support conversational programming and AI-human collaboration
- Documenting technical findings, participating in solution design discussions, and adapting work based on feedback
Requirements & Tech Stack
- At least a Bachelor's degree
- At least 1 year of experience
What Sets You Apart
- AI Fluency and Google Vertex AI experience for client solutions
- Python programming and prompt engineering for generative AI workflows
- Retrieval-Augmented Generation, LLM APIs, and LLM evaluation experience
- LLM guardrails, LLMOps, and agent orchestration familiarity
- Data science, machine learning, and NLP project contributions
- Accepting feedback, intellectual curiosity, and teamwork in fast-paced settings