Tax Innovation - AI Engineer - Manager

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary

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 work streams, 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.

• 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 work streams and guiding teams through complex delivery challenges
• Coaching and providing feedback to team members to support skill development and performance

• At least a Bachelor's degree
• At least 4 years of experience

• 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 work streams and coaching teams through solution delivery

Travel Requirements Up to 20% Job Posting End Date

The salary range for this position is: $99,000 - $266,000. Actual compensation within the range will be dependent upon the individual's…