Google Cloud Engineer - Senior Associate

Industry/SectorNot ApplicableSpecialismSoftware EngineeringManagement LevelSenior AssociateJob Description & SummaryThe OpportunityAs 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.Responsibilities- 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 tasksWhat You Must Have- At least a Bachelor's degree- At least 3 years of experienceWhat 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 solutionsTravel RequirementsUp to 80%Job Posting End DateThe salary range for this position is: $77,000 - $202,000. 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: 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: more about how we work: only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: IL-Chicago; NC-Raleigh; NC-Charlotte; OH-Cincinnati; OH-Cleveland; SC-Columbia; OH-Columbus; TX-Dallas; MD-Baltimore; VA-Richmond; NY-Rochester; IL-Rosemont; CA-Sacramento; MA-Boston; MO-St. Louis; UT-Salt Lake City; TX-San Antonio; CA-San Diego; CA-San Francisco; CA-Silicon Valley; WA-Seattle; SC-Spartanburg; NY-Albany; CT-Stamford; FL-Tampa; GA-Atlanta; OH-Toledo; TX-Austin; OK-Tulsa; DC-Washington; CO-Denver; IA-Des Moines; MI-Detroit; FL-Boca Raton; NY-Buffalo; NJ-Florham Park; TX-Fort Worth; NC-Greensboro; CT-Hartford; TX-Houston; MI-Grand Rapids; IN-Indianapolis; CA-Irvine; FL-Jacksonville; MO-Kansas City; NV-Las Vegas; AR-Little Rock; CA-Los Angeles; KY-Louisville; AL-Birmingham; AR-Fayetteville; NY-Melville; FL-Miami; WI-Milwaukee; MN-Minneapolis; VT-Montpelier; TN-Nashville; LA-New Orleans; NY-New York; OK-Oklahoma City; FL-Orlando; PA-Philadelphia; AZ-Phoenix; PA-Pittsburgh; OR-PortlandType: Full time