Director, AI & Data Solution Architect

PwC•Tampa, FL

1d•$155,000 - $410,000•Remote

About The Position

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.

Requirements

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

Nice To Haves

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

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