
Google AI & Data Solutions Architect, Senior Manager
Required skills
- Generative AI
- Data Modernization
- Google Vertex AI
- LLM APIs
- Retrieval-Augmented Generation
- Prompt Engineering
- Context Engineering
- Agent Orchestration
- LLMOps
- Guardrails
Nice to have
- Google Cloud AI
- LLM
- LangChain
- LangGraph
- Evaluation Methods
- Client-Ready Narratives
Role summary
PwC is seeking a Senior Manager, Google AI & Data Solutions Architect to lead client-focused solution design for generative AI and data modernization initiatives. This role involves translating business needs into technical blueprints using Google Vertex AI, LLM APIs, and related technologies. Responsibilities include advising stakeholders on AI architectures, guiding teams on prompt and context engineering, developing LLMOps practices, shaping data modernization strategies, and applying Python, ML, and NLP to prototype solutions. The ideal candidate will present technical options, coordinate experimentation, and support proposals, leveraging at least 7 years of experience. This role requires strong leadership, coaching abilities, and expertise in Google Cloud AI and data programs.
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior ManagerJob Description & Summary
The OpportunityAs 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
Travel Requirements
Up to 80%Job Posting End Date
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-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-deadlinesSimilar roles
- Solutions Architect (Talent Pool)Trimble · Remote · Remote
Systems Solutions ArchitectCadence · San Jose 08, CA · Onsite
Principal Solutions ArchitectureAT&T · Dallas, TX · Onsite- Solutions ArchitectSilgan Containers · Brookfield, WI · Onsite
- Senior Solutions ArchitectMNTN · Remote · Remote
- Solutions ArchitectAxle · Bethesda, MD · Onsite
