Tax Innovation - AI Engineer - Senior Manager

PwC•Washington, DC

1d•$124,000 - $335,000

About The Position

As a Tax Innovation - AI Engineer - Senior Manager, you will lead AI engineering efforts that translate tax business needs into scalable solutions within PwC’s Tax practice. You will use data, algorithms, and software engineering to develop and deploy AI and machine learning systems. In this senior management role, you will lead large projects, apply sound judgment, guide teams through complex work, shape clear messages, coach others, and use a strategic perspective to support client work and internal priorities. You will oversee multiple workstreams, contribute to technical design and implementation, validate solution performance, and help move ideas from concept into practical use across tax delivery workflows. The role may involve travel of up to 20%.

Requirements

At least a bachelor's degree.
At least 7 years of experience.

Nice To Haves

Preference for a field of study such as Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, or Engineering.
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.
Experience developing AI solutions for tax workflows and service delivery improvement.
Experience applying Python, machine learning, and NLP in client-facing delivery.
Ability to translate complex data findings into concise leadership messages.
Ability to direct cross-functional teams through ambiguity with sound judgment.

Responsibilities

Lead AI engineering workstreams for tax technology initiatives, translating client needs into scalable machine learning and software solutions.
Design and implement AI systems using Python, deep learning, and natural language processing to support tax data automation and insight generation.
Build data pipelines, wrangle structured and unstructured data, and validate model inputs for production environments.
Apply analytical and systems thinking to identify opportunities for process improvement and AI-driven transformation in tax service delivery.
Direct teams through ambiguity and complex delivery scenarios, making timely decisions on technical issues and delivery risks.
Craft clear technical narratives and present findings, tradeoffs, and recommended approaches to clients and internal stakeholders.
Guide rapid experimentation, model testing, and iteration to refine AI solutions and improve business outcomes.
Coach team members on AI implementation methods, open-source tools, and responsible use of machine learning techniques.
Model professional and technical standards while aligning solutions with firm policies, independence requirements, and client service objectives.