Tax Innovation - AI Engineer - Senior Manager

What the role needs

• Leading AI engineering workstreams for tax technology initiatives, translating client needs into scalable machine learning and software solutions
• Designing and implementing AI systems using Python, deep learning, and natural language processing to support tax data automation and insight generation
• Building data pipelines, wrangling structured and unstructured data, and validating model inputs for use in production environments
• Applying analytical thinking and systems thinking to identify opportunities for process improvement and AI driven transformation in tax service delivery
• Directing teams through ambiguity and complex delivery scenarios while making timely decisions on technical issues and delivery risks
• Crafting clear technical narratives and presenting findings, tradeoffs, and recommended approaches to clients and internal stakeholders
• Guiding rapid experimentation, model testing, and iteration to refine AI solutions and improve business outcomes
• Coaching team members on AI implementation methods, open source tools, and responsible use of machine learning techniques
• Modeling professional and technical standards while aligning solutions to firm policies, independence requirements, and client service objectives
• What You Must Have
• At least a Bachelor's degree
• At least 7 years of experience

From the employer

The Opportunity As a Tax Innovation - AI Engineer - Senior Manager you will lead AI engineering efforts that translate tax business needs into scalable solutions, working within our Tax practice and drawing on data, algorithms, and software engineering to develop and deploy AI and machine learning systems. As a Senior Manager you will lead large projects, apply sound judgment, and guide teams through complexity while shaping clear messages, coaching others, and using a strategic point of view to support client work and internal priorities. In this role at PwC, you will oversee multiple work streams, contribute to technical design and implementation, validate solution performance, and help move ideas from concept into practical use across tax delivery workflows. Responsibilities - Leading AI engineering workstreams for tax technology initiatives, translating client needs into scalable machine learning and software solutions - Designing and implementing AI systems using Python, deep learning, and natural language processing to support tax data automation and insight generation - Building data pipelines, wrangling structured and unstructured data, and validating model inputs for use in production environments - Applying analytical thinking and systems thinking to identify opportunities for process improvement and AI driven transformation in tax service delivery - Directing teams through ambiguity and complex delivery scenarios while making timely decisions on technical issues and delivery risks - Crafting clear technical narratives and presenting findings, tradeoffs, and recommended approaches to clients and internal stakeholders - Guiding rapid experimentation, model testing, and iteration to refine AI solutions and improve business outcomes - Coaching team members on AI implementation methods, open source tools, and responsible use of machine learning techniques - Modeling professional and technical standards while aligning solutions to firm policies, independence requirements, and client service objectives What You Must Have - At least a Bachelor's degree - At least 7 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 - Developing AI solutions for tax workflows and service delivery improvement - Applying Python, machine learning, and NLP in client-facing delivery - Translating complex data findings into concise leadership messages - Directing cross-functional teams through ambiguity with sound judgment The salary range for this position is: $124,000 - $335,000. 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. PwC offers a wide range of benefits, including 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.