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 Boston, Massachusetts, USA Office
101 Seaport Boulevard, Boston, MA, United States, 02210
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