Tax Innovation - AI Engineer - Director

PwC; Chicago (IL); On-site; USD 150,000 - 438,000; Full time

Benefits offered by this job

annual discretionary bonus

Medical insurance

Dental insurance

Vision insurance

401k

Holiday pay

Vacation

Personal and family sick leave

Job summary

PwC seeks an AI Engineer Director in the Tax Innovation group to design and lead scalable AI systems across tax-focused client work. You will set strategic direction, lead business development, and mentor teams while shaping client relationships.

The role emphasizes applying ML, NLP, and cloud platforms to deliver measurable value and responsible AI practices within PwC’s General Tax Consulting practice.

Qualifications

Responsibilities

• Set strategic direction for AI engineering solutions in tax innovation.
• Lead client-facing AI engagements from concept to deployment.
• Design ML/ DL and NLP models for tax and data use cases.
• Oversee data wrangling, feature development, model tuning, and integration.
• Develop Python-based solutions for text analytics and sentiment analysis.
• Advise on AI implementation balancing feasibility, scalability, and business value.
• Build executive relationships and identify AI-driven opportunities.
• Promote open source and emerging AI tech within delivery teams.
• Mentor teams and guide technical direction across initiatives.
• Ensure compliance with standards and independence requirements.

Skills

Analytics/Data Science

AI leadership

AI leadership in tax

Team leadership

Tax requirements mapping

Thought leadership

ML & cloud for clients

AI engineering leadership

Education

Bachelor's degree

Tools

AWS

Google Cloud

Microsoft Azure

Databricks

Snowflake

Job description

The Opportunity

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.

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

What You Must Have

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

What Sets You Apart

• 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

The salary range for this position is: $150,000 - $438,000. 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.

• 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: https://pwc.to/benefits-at-a-glance

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: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

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.