Leads the strategy, design, and deployment of AI and machine learning solutions for tax-focused client engagements. Builds Python-based systems for text analytics, extraction, and sentiment analysis; oversees data preparation, feature engineering, model tuning, and platform integration. The Director develops client relationships, drives business development, mentors teams, promotes responsible AI adoption, and ensures governance and professional standards across initiatives.
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. 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.
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. 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.
PwC Denver, Colorado, USA Office
1900 Sixteenth Street, Denver, CO, United States, 80202
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead client engagements to optimize manufacturing and product development lifecycles using lean and Six Sigma methods, supply chain integration, PLM, and digital technologies. Manage project planning, budgeting, team coaching, feasibility and cost analyses, and drive adoption of emerging technologies to improve speed to market, reduce cost, and enhance quality.
Top Skills:
Artificial IntelligenceData AnalyticsDigital TechnologiesLean ManufacturingManufacturing StrategyProduct Lifecycle Management (Plm)RoboticsSix SigmaSupply Chain Integration
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads client-facing digital manufacturing engagements involving automation, MES, digital twins, smart factory integration, and manufacturing strategy. Manages workstreams, budgets, timelines, and deliverables; analyzes bottlenecks and cost drivers; applies lean, Six Sigma, and process simulation methods; guides cross-functional teams; advises clients on connected technologies; and coaches team members.
Top Skills:
Ai-Enabled Manufacturing ToolsDigital AutomationDigital TwinMesProcess SimulationProduct Lifecycle ManagementSix Sigma
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Analyzes product development and manufacturing operations to identify bottlenecks, improve throughput, reduce costs, and enhance quality. Develops lean and Six Sigma process improvements, interprets operational data, supports product lifecycle and supply chain workstreams, and applies digital engineering, simulation, and connected technologies. Designs current- and future-state operating models, manages client workstreams, builds stakeholder relationships, and mentors junior team members.
Top Skills:
Artificial IntelligenceConnected TechnologiesDigital EngineeringLean ManufacturingProduct Lifecycle ManagementSimulationSix SigmaSupply Chain Integration
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
