AI Solutions Manager - GenAI & MLOps Leader

PwC; Washington; On-site; USD 99,000 - 266,000; Full time

Benefits offered by this job

Medical benefits

401k plan

Paid time off

Job summary

PwC seeks a Tax Innovation - Artificial Intelligence Engineer to design, build, and deploy AI solutions for the Tax practice. You will guide cross-functional teams, translate business needs into scalable AI systems, and ensure security, privacy, and auditability.

Mentorship of junior staff and delivery leadership are key expectations. The role focuses on foundation models, ML, NLP, and retrieval techniques, with emphasis on production practices, data quality, and compliance throughout the

Qualifications

• At least a Bachelor’s degree.
• At least 4 years of experience.

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.

Skills

Python programming

Leadership

Machine Learning

Generative AI

NLP

Foundation models

Retrieval-Augmented Generation

Cloud platforms

Data integration

Project management

Education

Bachelor's degree

Tools

APIs

Vector search

MLOps

LLMOps

AWS

Google Cloud

Azure

Databricks

Snowflake

Job description

PwC seeks a Tax Innovation - Artificial Intelligence Engineer to design, build, and deploy AI solutions for the Tax practice. You will guide cross-functional teams, translate business needs into scalable AI systems, and ensure security, privacy, and auditability.

Mentorship of junior staff and delivery leadership are key expectations. The role focuses on foundation models, ML, NLP, and retrieval techniques, with emphasis on production practices, data quality, and compliance throughout the