As a Tax Innovation - Artificial Intelligence Engineer, you will lead the design, development, and deployment of AI solutions to enhance performance and capabilities within our Tax practice. You will oversee client engagement workstreams, guide multidisciplinary teams, and translate complex business needs into scalable, production-ready AI solutions. As a Manager, you will leverage your technical and leadership skills to mentor junior staff, manage projects, and navigate ambiguity while upholding PwC's quality standards.
In this role at PwC, you will focus on building AI solutions using foundation models, machine learning, agentic systems, retrieval technologies, and modern software engineering practices. You will guide teams through solution design, experimentation, integration, deployment, and ongoing optimization while addressing security, compliance, data quality, and auditability requirements. Your intellectual curiosity and ability to embrace technology and innovation will help drive quality delivery and identify new opportunities for our clients and firm.
Responsibilities
- Leading the design, development, and deployment of scalable AI and GenAI solutions
- Translating business requirements into secure, production-ready AI architectures and applications
- Applying foundation models, machine learning, natural language processing, retrieval, and agentic technologies to solution design
- Leading experimentation and evaluation to validate solution feasibility, quality, and performance
- Designing data, knowledge, and retrieval solutions, including data integration, document processing, vector search, and retrieval-augmented generation
- Developing AI applications using Python, APIs, and modern software engineering practices
- Implementing agentic workflows, orchestration patterns, and human-in-the-loop controls
- Applying MLOps and LLMOps practices to support deployment, monitoring, quality measurement, and optimization
- Confirming AI solutions meet security, privacy, compliance, Responsible AI, data quality, and auditability requirements
- Collaborating with stakeholders to identify business and data challenges and refine solutions
- Managing project workstreams and guiding teams through complex delivery challenges
- Coaching and providing feedback to team members to support skill development and performance
What You Must Have
- At least a Bachelor's degree
- At least 4 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 artificial intelligence, machine learning, data engineering, or cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation, Generative AI, and Machine Learning
- Applying foundation models, Natural Language Processing, and Retrieval-Augmented Generation techniques
- Utilizing Python to develop AI applications and integrate APIs
- Developing agentic solutions and orchestration workflows
- Applying data integration, modeling, and retrieval techniques to enterprise AI solutions
- Implementing MLOps and LLMOps practices for production AI systems
- Applying security, Responsible AI, compliance, and data quality requirements
- Leading AI engineering workstreams and coaching teams through solution delivery
The salary range for this position is: $99,000 - $266,000. 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.
Skills Required
- Bachelor's degree
- At least 4 years of experience
- Degree or field of study in analytics/data science, artificial intelligence/robotics, computer science/information systems, or engineering
- Certification aligned to artificial intelligence, machine learning, data engineering, or cloud platforms
- Proficiency in AI implementation, Generative AI, and machine learning
- Experience with foundation models, natural language processing, and retrieval-augmented generation
- Proficiency using Python to develop AI applications and integrate APIs
- Experience developing agentic solutions and orchestration workflows
- Experience applying data integration, modeling, and retrieval techniques to enterprise AI solutions
- Experience implementing MLOps and LLMOps practices for production AI systems
- Knowledge of security, Responsible AI, compliance, and data quality requirements
- Experience leading AI engineering workstreams and coaching teams through solution delivery
PwC Compensation & Benefits Highlights
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Retirement Support — An employer-funded Wealth Builder contribution sits alongside the 401(k), a distinctive feature that strengthens long-term savings and is highlighted as a clear plus.
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Parental & Family Support — Policies include 12 weeks of paid leave for all parents with a phased return, along with support for fertility, surrogacy/adoption, and childcare resources.
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Wellbeing & Lifestyle Benefits — Mental-health commitments, coaching and app access, fitness programs, hybrid flexibility, and firmwide U.S. shutdown weeks underscore a strong focus on wellbeing, with recent recognition for excellence in health and well-being.
PwC Insights
What We Do
Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.
Why Work With Us
At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.
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