Supports client cloud modernization engagements by designing and building Google Cloud data and generative AI solutions. Develops Python workflows for prompt engineering, retrieval-augmented generation, agent orchestration, and LLM evaluation. Configures Vertex AI, LLM APIs, vector databases, guardrails, and LLMOps processes while applying machine learning and NLP concepts. Collaborates on data platform and analytics modernization, troubleshooting, research, solution design, documentation, and iterative improvement with senior staff.
The Opportunity
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
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
For 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: https://pwc.to/us-application-deadlines
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
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
For 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: https://pwc.to/us-application-deadlines
PwC El Segundo, California, USA Office
2141 Rosecrans Avenue Suite 5100, El Segundo, CA, United States, 90245
PwC Irvine, California, USA Office
2020 Main Street Suite 400, Irvine, CA, United States, 92614
PwC Los Angeles, California, USA Office
601 South Figueroa Street Suite 900, Los Angeles, CA, United States, 90017
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads Appian and BPM solution architecture across client engagements, setting technical direction for low-code workflow, case management, automation, and integration solutions. Translates business needs into scalable platform designs, standards, and roadmaps; advises executives on modernization; guides implementation decisions; evaluates automation opportunities; validates security, performance, and compliance; develops client relationships and business development; and mentors architecture and delivery teams.
Top Skills:
AppianBpmCase ManagementCloud IntegrationEnterprise Integration ArchitectureLow-Code PlatformsMicrosoft Power PlatformPegaWorkflow Automation
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Implements and optimizes ServiceNow GRC and IRM solutions for client governance, risk, and compliance programs. Designs workflows, data structures, controls-testing processes, reports, and risk-management capabilities. Translates regulatory and operational requirements into technology features, analyzes business needs, supports deployment, identifies control and process gaps, and develops compliance insights. Collaborates with clients, manages assigned workstreams, resolves issues, and guides junior team members.
Top Skills:
Governance Risk And Compliance (Grc)Integrated Risk Management (Irm)Servicenow
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads SAP managed services engagements, setting strategic direction, overseeing delivery across SAP platforms, managing executive client relationships, and driving business development. The role translates client needs into service plans, oversees application support and modernization, guides solution design and issue resolution, develops operating models, and mentors delivery leaders. It also supports S/4HANA transitions, technology integration, operational efficiency, and growth across SAP advisory offerings.
Top Skills:
Digital ToolingEnterprise SoftwareErpSAPSap AribaSap CxSap S/4HanaSap SuccessfactorsSap Supply ChainSystems Integration
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
