Director, AI & Data Solution Architect at PwC | AL, US | Rezi

Director, AI & Data Solution Architect at PwC

Director, AI & Data Solution Architect

PwC · AL, US

1 months ago

Director, AI & Data Solution Architect

PwC · AL, US

a month ago
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About the Role

Lead the design of AI and data solutions to modernize platforms, shape architecture choices, and connect technical direction to business goals within the Data and Analytics Engineering practice. Set strategic direction, drive business growth, cultivate client relationships, and mentor teams.

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

Requirements

  • At least a Bachelor's degree
  • At least 9 years of experience

Skills

  • 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

Work Type

  • Up to 80% travel

Experience Level

  • Director

Education Level

  • Bachelor's degree

Salary/Compensations

  • $155,000 - $410,000

Benefits

  • All hired individuals are eligible for an annual discretionary bonus
  • Medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

About the Company

  • PwC is an equal opportunity employer.
  • Learn more about how we work: https://pwc.to/how-we-work

Equal Opportunity

  • 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.
  • 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.