Tax Innovation AI Engineer Manager

PWC

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Dallas, TXChicago, ILWashington, DCNew York, NY
Salary: $99,000–$266,000 / yr
Posted: 23 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $206k

This role $182k

$79k most similar roles pay here $286k

This role pays less than 69% of similar roles. Most pay $165,375–$246,150 — the shaded band above. At the midpoint, this role pays about $182k versus about $206k 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 105 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 103 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · Tax Innovation AI Engineer Manager

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As a Tax Innovation - AI Engineer - Manager, you will join the tax practice to lead the design, development, and deployment of scalable AI and GenAI solutions. You will oversee client engagement workstreams, manage project workstreams, and mentor junior staff while translating complex business needs into production-ready architectures. Your daily work involves building systems using foundation models, machine learning, natural language processing, retrieval technologies, and agentic workflows. You will utilize Python, APIs, and modern software engineering practices to develop applications while implementing MLOps and LLMOps for monitoring and optimization. The role requires ensuring all solutions meet strict security, privacy, compliance, and auditability requirements. You will solve technical challenges related to data integration, document processing, vector search, and retrieval-augmented generation to enhance performance and capabilities within the tax domain.

Skills

Generative AI Machine Learning Python Natural Language Processing Retrieval-Augmented Generation LLMOps MLOps Agentic Workflows Vector Search Databricks Snowflake AWS Cloud Platform Microsoft Azure APIs Data Engineering Software Engineering

What you'll do

Design, develop, and deploy scalable AI and Generative AI solutions for the Tax practice.
Translate complex business requirements into secure, production-ready AI architectures and applications.
Implement agentic workflows, orchestration patterns, and human-in-the-loop controls.
Develop AI applications using Python, APIs, and modern software engineering practices.
Design data integration, document processing, vector search, and retrieval-augmented generation (RAG) solutions.
Apply MLOps and LLMOps practices to manage deployment, monitoring, and performance optimization.
Ensure all AI solutions meet security, privacy, compliance, and Responsible AI requirements.
Manage project workstreams and coach team members through complex delivery challenges.

What we're looking for

At least a Bachelor's degree.
At least 4 years of experience.
Degree in Analytics/Data Science, AI/Robotics, Computer Science/Information Systems, or Engineering (preferred).
Certifications in AI, machine learning, data engineering, or cloud platforms like AWS, Google Cloud, Azure, Databricks, or Snowflake (preferred).
Proficiency in AI implementation, Generative AI, and Machine Learning.
Experience with foundation models, Natural Language Processing, and Retrieval-Augmented Generation techniques.
Ability to develop AI applications using Python and integrate APIs.
Experience implementing MLOps and LLMOps practices for production systems.

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