below marketmost similar roles pay hereabove market
This role pays less than
65%
of similar roles. Most pay
$162,530–$244,500
— the blue band above.
At the midpoint, this role pays about
$182k
versus about
$204k
for comparable roles.
Based on 240 similar postings.
Employer
About PWC
PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting
PWC currently has
101 open roles
on FindRole.
Listed pay typically runs
$99,000–$232,000
across 97 roles with salary data.
The Tax Innovation - AI Engineer - Manager leads the design, development, and deployment of AI solutions to enhance performance within the Tax practice. This role involves overseeing client engagement workstreams, guiding multidisciplinary teams, and translating complex business needs into scalable, production-ready architectures. Key responsibilities include leading experimentation, designing data and retrieval solutions, and implementing agentic workflows with human-in-the-loop controls. The position requires proficiency in Python, APIs, foundation models, machine learning, natural language processing, and retrieval-augmented generation. Candidates must apply MLOps and LLMOps practices while ensuring solutions meet security, privacy, compliance, and auditability requirements. The work focuses on solving business and data challenges by building secure AI applications, managing project workstreams, and coaching team members through complex delivery challenges in a professional services context.
Lead the design, development, and deployment of scalable AI and GenAI solutions.
Translate complex business requirements into secure, production-ready AI architectures and applications.
Apply foundation models, machine learning, NLP, and agentic technologies to solution design.
Design data and retrieval solutions including document processing, vector search, and RAG.
Develop AI applications using Python, APIs, and modern software engineering practices.
Implement agentic workflows, orchestration patterns, and human-in-the-loop controls.
Apply MLOps and LLMOps practices to support deployment, monitoring, and quality measurement.
Ensure AI solutions meet security, privacy, compliance, and Responsible AI requirements.
What we're looking for
Must have at least a Bachelor's degree.
Must have at least 4 years of experience.
Preference for a degree in Analytics/Data Science, AI/Robotics, Computer Science/Information Systems, or Engineering (preferred).
Preference for certifications in AI, machine learning, data engineering, or cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake (preferred).
Preference for proficiency in AI implementation, Generative AI, and Machine Learning (preferred).
Preference for applying foundation models, Natural Language Processing, and Retrieval-Augmented Generation techniques (preferred).
Preference for utilizing Python to develop AI applications and integrate APIs (preferred).
Preference for developing agentic solutions, orchestration workflows, and implementing MLOps/LLMOps practices (preferred).
Python
Machine Learning
Natural Language Processing
Deep Learning
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Data Engineering
Data Pipelines
AI Engineering
Python
C++
Machine Learning
TensorFlow
Scikit-Learn
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Data Engineering
Neural Networks
Reinforcement Learning
Data Pipelines
Data Wrangling
Data Infrastructure
Azure Data Factory
Databricks
Snowflake
Data Engineering
Data Pipelines
Data Modeling
Dimensional Modeling
Data Warehouse
Data Integration
Data Transformation
Data Architecture
Azure
Business Intelligence