Job description

The Opportunity As a Director, AI & Data Solution Architect you will lead the design of AI and data solutions that help clients modernize platforms, shape architecture choices, and connect technical direction to business goals within our Data and Analytics Engineering practice. As a Director you will set strategic direction, drive business growth, cultivate client relationships at the executive level, and mentor teams as they develop new ideas, solutions, and structures. In this role at PwC, you will oversee multiple work streams, translate complex needs into practical architecture, and collaborate across Cloud Engineering, Data & Analytics, and Data, Analytics & AI to deliver data modernization initiatives. Responsibilities - Setting strategic direction for AI and data solution architecture across client engagements and transformation programs - Leading discovery sessions to translate business challenges into Generative AI and data modernization solution concepts - Designing scalable architecture patterns using LLM APIs, vector databases, retrieval-augmented generation, and LLMOps practices - Shaping solution roadmaps that connect AI, data science, cloud services, and digital tooling into practical delivery plans - Guiding development of prompt engineering, context engineering, and conversational programming approaches for client use cases - Overseeing evaluation methods for AI outputs, guardrails, and model performance across production and pilot environments - Advising executive stakeholders on AI fluency, operating model changes, and AI-human collaboration opportunities - Driving innovation through rapid experimentation, learning loops, and adoption of emerging AI platforms and frameworks - Collaborating across technical and business teams to align architecture choices with data, analytics, and AI goals - Developing thought leadership and mentoring teams on generative AI patterns, service design, and solution architecture What You Must Have - At least a Bachelor's degree - At least 9 years of experience What Sets You Apart - Directing AI and data architecture for client-facing transformation programs - Translating generative AI strategy into scalable solution roadmaps - Applying prompt engineering, LLM evaluation, and LLMOps knowledge - Leveraging AWS Bedrock, Azure AI Services, or Google Vertex AI - Building agent orchestration, vector databases, and retrieval-augmented generation - Demonstrating data modernization leadership across multiple engagements The salary range for this position is: $155,000 - $410,000. 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

Setting strategic direction for AI and data solution architecture across client engagements and transformation programs
Leading discovery sessions to translate business challenges into Generative AI and data modernization solution concepts
Designing scalable architecture patterns using LLM APIs, vector databases, retrieval-augmented generation, and LLMOps practices
Shaping solution roadmaps that connect AI, data science, cloud services, and digital tooling into practical delivery plans
Guiding development of prompt engineering, context engineering, and conversational programming approaches for client use cases
Overseeing evaluation methods for AI outputs, guardrails, and model performance across production and pilot environments
Advising executive stakeholders on AI fluency, operating model changes, and AI-human collaboration opportunities
Driving innovation through rapid experimentation, learning loops, and adoption of emerging AI platforms and frameworks
Collaborating across technical and business teams to align architecture choices with data, analytics, and AI goals
Developing thought leadership and mentoring teams on generative AI patterns, service design, and solution architecture
What You Must Have
At least a Bachelor's degree
At least 9 years of experience
What Sets You Apart
Directing AI and data architecture for client-facing transformation programs
Translating generative AI strategy into scalable solution roadmaps
Applying prompt engineering, LLM evaluation, and LLMOps knowledge
Leveraging AWS Bedrock, Azure AI Services, or Google Vertex AI
Building agent orchestration, vector databases, and retrieval-augmented generation
Demonstrating data modernization leadership across multiple engagements

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

aillmawsazure

Platform: phenom
Effort: medium

Benefits

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Dental

Vision

401k