Senior Engineering Manager, Google Cloud Ai/Ml

Industry/SectorNot ApplicableSpecialismData, Analytics & AIManagement LevelSenior ManagerJob Description & SummaryThe OpportunityAs a Senior Engineering Manager, Google Cloud AI/ML you will lead engineering efforts that design, build, and scale AI and machine learning solutions on Google Cloud, focusing on delivery for data and analytics engineering within our Data and Analytics Engineering practice. As a Senior Manager you will guide complex workstreams, apply sound judgment across changing priorities, and develop teams that translate technical strategy into practical outcomes. In this role at PwC, you will collaborate across cloud engineering, data, and AI disciplines to shape solution architecture, support delivery execution, and contribute to the advancement of GCP Native Development & Testing initiatives.ResponsibilitiesLeading Google Cloud AI and machine learning engineering workstreams from concept through deploymentGuiding technical teams in designing generative AI solutions, including prompt engineering, LLM APIs, and retrieval-augmented generationDriving architecture decisions for AI applications built on Google Vertex AI, LangChain, LangGraph, and vector databasesManaging client conversations to align technical direction, delivery priorities, and measurable outcomesDirecting experimentation, model evaluation, and guardrail design to support reliable AI behaviorShaping LLMOps practices for versioning, monitoring, release coordination, and lifecycle managementApplying Python, data science, and machine learning methods to prototype and refine AI-driven productsTranslating complex technical concepts into clear recommendations for business and technology leadersWhat You Must HaveAt least a Bachelor’s degreeAt least 7 years of experienceWhat Sets You ApartLeading engineering teams delivering Google Cloud AI and ML solutionsApplying Google Vertex AI, LangChain, and LLM APIsBuilding LLMOps, guardrails, and evaluation frameworksUsing Python, machine learning, and data science skillsDriving rapid experimentation and context engineering approachesCommunicating clearly across client and technical teamsTravel RequirementsUp to 80%Job Posting End DateThe salary range for this position is: $124,000 - $280,000. 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-glanceAs 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-workFor 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

What You Must Have

• At least a Bachelor’s degree
• At least 7 years of experience

What Sets You Apart

• Leading engineering teams delivering Google Cloud AI and ML solutions
• Applying Google Vertex AI, LangChain, and LLM APIs
• Building LLMOps, guardrails, and evaluation frameworks
• Using Python, machine learning, and data science skills
• Driving rapid experimentation and context engineering approaches
• Communicating clearly across client and technical teams

The salary range for this position is: $124,000 - $280,000. 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