Job description

The Opportunity As a Google AI & Data Solutions Architect you will lead client-focused solution design for generative AI and data modernization initiatives, translating business needs into practical architecture and delivery approaches within our Data and Analytics Engineering practice. As a Senior Manager you will lead large projects, apply sound judgment, coach diverse teams through complex work, and shape clear recommendations that support client decisions and firm priorities. In this role at PwC, you will guide solution strategy, align technical direction across data, cloud, and AI environments, and contribute to work that supports modern data platforms and scalable AI use cases. Responsibilities - Leading Google AI and data solution design for client transformation programs - Advising stakeholders on generative AI architectures, delivery approaches, and adoption planning - Translating business needs into technical solution blueprints using Google Vertex AI, LLM APIs, and retrieval-augmented generation - Guiding teams through prompt engineering, context engineering, and agent orchestration for scalable AI applications - Developing LLM evaluation methods, guardrails, and LLMOps practices to support reliable deployment - Shaping data modernization strategies across cloud platforms, vector databases, and digital tooling - Applying Python, machine learning, and natural language processing to prototype and refine AI-enabled solutions - Presenting technical options, tradeoffs, and implementation plans to client leaders and internal teams - Coordinating rapid experimentation cycles to validate solution fit and inform next-step design choices - Supporting proposals and solution narratives by connecting industry trends, AI capabilities, and business outcomes What You Must Have - At least a Bachelor's degree - At least 7 years of experience What Sets You Apart - Leading large Google Cloud AI and data programs - Delivering generative AI, LLM, and vector database solutions - Applying Python, LangChain, LangGraph, and Vertex AI - Using LLMOps, guardrails, and evaluation methods - Translating technical concepts into client-ready narratives - Coaching teams through ambiguity and complex decisions 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: pwc.to 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: pwc.to. Learn more about how we work: pwc.to 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: pwc.to

Requirements

Must-haves

Leading Google AI and data solution design for client transformation programs
Advising stakeholders on generative AI architectures, delivery approaches, and adoption planning
Translating business needs into technical solution blueprints using Google Vertex AI, LLM APIs, and retrieval-augmented generation
Guiding teams through prompt engineering, context engineering, and agent orchestration for scalable AI applications
Developing LLM evaluation methods, guardrails, and LLMOps practices to support reliable deployment
Shaping data modernization strategies across cloud platforms, vector databases, and digital tooling
Applying Python, machine learning, and natural language processing to prototype and refine AI-enabled solutions
Presenting technical options, tradeoffs, and implementation plans to client leaders and internal teams
Coordinating rapid experimentation cycles to validate solution fit and inform next-step design choices
Supporting proposals and solution narratives by connecting industry trends, AI capabilities, and business outcomes
What You Must Have
At least a Bachelor's degree
At least 7 years of experience
What Sets You Apart
Leading large Google Cloud AI and data programs
Delivering generative AI, LLM, and vector database solutions
Applying Python, LangChain, LangGraph, and Vertex AI
Using LLMOps, guardrails, and evaluation methods
Translating technical concepts into client-ready narratives
Coaching teams through ambiguity and complex decisions

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmpythonmachine learning

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k