Job description

The Opportunity 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: pwc.to 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: pwc.to. Learn more about how we work: pwc.to 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.

Requirements

Must-haves

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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonawsazure

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k