below marketmost similar roles pay hereabove market
This role pays more than
61%
of similar roles. Most pay
$167,537–$235,750
— the blue band above.
At the midpoint, this role pays about
$230k
versus about
$202k
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.
As a Tax Innovation - AI Engineer - Senior Manager, you will lead AI engineering efforts within the Tax practice to translate business needs into scalable solutions. You will oversee multiple workstreams, contributing to technical design, implementation, and performance validation to move concepts into practical use across tax delivery workflows. Your daily responsibilities include designing AI systems, building data pipelines, and wrangling structured and unstructured data. You will utilize Python, deep learning, natural language processing, and open source tools to support tax data automation. The role requires expertise in machine learning, cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, and Snowflake. You will solve complex technical problems by identifying process improvements and providing clear technical narratives to stakeholders regarding AI-driven transformation in tax service delivery.
Lead AI engineering workstreams to translate tax business needs into scalable machine learning and software solutions.
Design and implement AI systems using Python, deep learning, and natural language processing for tax data automation.
Build data pipelines and wrangle structured and unstructured data for production environment model inputs.
Identify process improvement opportunities and AI-driven transformations within tax service delivery workflows.
Direct teams through complex delivery scenarios and make timely decisions on technical issues and delivery risks.
Craft technical narratives and present findings, tradeoffs, and recommended approaches to clients and internal stakeholders.
Guide rapid experimentation, model testing, and iteration to refine AI solutions and improve business outcomes.
Coach team members on AI implementation methods, open source tools, and responsible machine learning techniques.
What we're looking for
At least a Bachelor's degree.
At least 7 years of experience.
Preference for a degree in Analytics/Data Science, AI/Robotics, Computer Science/Information Systems, or Engineering (preferred).
Certifications in data engineering, machine learning, or cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake (preferred).
Experience developing AI solutions for tax workflows and service delivery improvement (preferred).
Experience applying Python, machine learning, and NLP in client-facing delivery (preferred).
Ability to translate complex data findings into concise leadership messages (preferred).
Ability to direct cross-functional teams through ambiguity with sound judgment (preferred).
Generative AI
Python
Machine Learning
Natural Language Processing
Retrieval-Augmented Generation
MLOps
LLMOps
Foundation Models
Agentic Workflows
APIs
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Vector Search
Data Integration
Responsible AI
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
Python
TensorFlow
C++
Java
Scikit-Learn
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Natural Language Processing
Machine Learning
Data Engineering
Data Pipelines
Data Wrangling
Deep Learning
Artificial Intelligence
Machine Learning
Python
Natural Language Processing
Deep Learning
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Data Engineering
Text Analytics
Sentiment Analysis
Data Wrangling
Python
C++
Java
TensorFlow
Scikit-Learn
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Machine Learning
Data Engineering
Data Modeling
Data Wrangling
AI Implementation
Open-source Software