Google Cloud Engineer - Senior Associate
pwcHouston (TX)
Google Cloud Engineer - Senior Associate
Posted today
pwcHouston (TX)
SENIORITY
Lead
About the role
Overview:
As a Google Cloud Engineer - Senior Associate, you will design and deliver cloud-based data and analytics solutions within PwC’s Advisory practice, focusing on data modernization and cloud engineering. You will analyze complex problems, manage workstreams, mentor juniors, and build client relationships to understand business context. Your work will span Google Cloud platform engineering, data integration, ETL, and modern architectures that move clients from legacy setups to scalable, data-driven solutions. You will shape AI-enabled, scalable solutions using Gen AI, Vertex AI, and related technologies. Compensation / Benefits medical dental vision 401k holiday pay vacation
Responsibilities:
Design and develop Google Cloud and Generative AI solutions for data modernization Build agentic workflows, retrieval-augmented generation patterns, and prompt engineering approaches Integrate LLM APIs, Vertex AI, vector databases, and cloud services into scalable designs Apply LLM evaluation, guardrails, and LLMOps practices for reliable deployment Translate client requirements into technical designs for AI-powered contact centers and conversational apps Write Python-based components for ML, NLP, and orchestration workflows Interpret data and feedback to refine solution logic and improve response quality Collaborate with client stakeholders and juniors to manage workstreams and mentor on delivery tasks
Key requirements:
Bachelor 3+ years of experience 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 client-focused judgment mentoring junior team members cross-functional collaboration Python Google Vertex AI LLM APIs
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.