Tax Innovation - AI Engineer - Director

PwC•Washington, DC

1d•$150,000 - $438,000

About The Position

As a Tax Innovation - AI Engineer you will design and develop AI and machine learning solutions that support data-driven decision making and business growth, within our General Tax Consulting practice. As a Director you will set strategic direction, lead business development efforts, and guide multiple initiatives while shaping client relationships and mentoring future leaders. In this role at PwC, you will apply data, algorithms, and software engineering to build scalable AI systems, translate ideas into practical solutions, and help advance technology use across tax-focused client work.

Requirements

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

Nice To Haves

Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
Demonstrating AI engineering leadership in tax-focused client settings
Applying machine learning and cloud platforms to client solutions
Translating tax requirements into AI-enabled technical designs
Guiding teams through innovation, governance, and delivery choices
Developing thought leadership on emerging tax automation approaches

Responsibilities

Setting strategic direction for artificial intelligence engineering solutions that support tax innovation initiatives
Leading client-facing AI engagements from concept through deployment, translating business needs into scalable technical approaches
Designing and implementing machine learning, deep learning, and natural language processing models for tax and data use cases
Overseeing data wrangling, feature development, model tuning, and integration of AI systems into software platforms
Developing Python-based engineering solutions that support text analytics, text extraction, and sentiment analysis workflows
Advising on AI implementation approaches that balance technical feasibility, scalability, and business value
Building executive relationships and identifying new opportunities for AI-driven services across client organizations
Promoting responsible use of open source software and emerging AI technologies within delivery teams
Mentoring teams in analytical thinking, creativity, and innovation while shaping technical direction across multiple initiatives
Validating adherence to professional standards, code of conduct, and independence requirements in client work