Tax Innovation - AI Engineer - Director

PwC; Dallas (TX); In loco; USD 150.000 - 438.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical

Dental

Vision

401k

Holiday pay

Vacation

Personal and family sick leave

Descrizione del lavoro

PwC is seeking a Tax Innovation - AI Engineer Director to shape strategic direction and lead multiple AI initiatives within the General Tax Consulting practice in Dallas. You will apply data, algorithms, and software engineering to build scalable AI systems, guide client relationships, and mentor leaders while advancing technology use across tax-focused client work.

You will influence AI strategy, drive business development, and ensure responsible use of AI technologies in delivering high-impact

Competenze

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

Mansioni

• Setting strategic direction for AI engineering solutions in tax innovation initiatives.
• Leading client-facing AI engagements from concept through deployment.
• Designing and implementing ML, DL, and NLP models for tax and data use cases.
• Overseeing data wrangling, feature development, model tuning, and integration of AI systems.
• Developing Python-based solutions for text analytics, extraction, and sentiment analysis workflows.
• Advising on AI approaches balancing feasibility, scalability, and business value.
• Building executive relationships and identifying opportunities for AI-driven services.
• Promoting responsible use of open source software and emerging AI technologies.

Formazione

Bachelor's degree

Descrizione del lavoro

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.