Google Cloud Engineer, Experienced Associate

As a Google Cloud Engineer, Experienced Associate 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. As an Associate 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 at PwC, 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.

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

Software Engineering, Cloud Computing, Software Engineering, Cloud Computing, Customer Support/Service, Cloud Architecture, Use Cases, Identify Issues, Database Extract Transform and Load (ETL), Business Support, What You Must Have

• At least a Bachelor’’s degree
• At least 1 years 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

The salary range for this position is: $61,000 - $100,000. Actual compensation within the range will be dependent upon the individual’’s skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work