AI Engineering Manager: Commercial Tech & Innovation

PwC; Washington (District of Columbia); On-site; USD 99,000 - 232,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

Paid holidays

Vacation

Sick leave

Job summary

PwC in Washington, DC is seeking an AI Engineer- Manager in Commercial Technology & Innovation to transform data into insights and drive business growth. You will design and deploy AI systems, lead teams, and own project budgeting and delivery.

You will apply Python and C++, wrangle data, and leverage TensorFlow/Scikit-Learn to build scalable ML models, mentoring colleagues and advancing our AI capabilities across advisory projects.

Qualifications

• At least a Bachelor's degree.
• 5+ years of relevant experience.
• Proven track record in AI/ML implementations.

Responsibilities

• Design and deploy AI systems to transform raw data into actionable insights.
• Lead teams in developing scalable ML solutions.
• Wrangle data to support AI model deployment.
• Code in Python and C++ for AI software development.
• Manage data infrastructure and integration for quality and accessibility.
• Create and maintain data pipelines and modeling processes.
• Train models using TensorFlow and Scikit-Learn.
• Analyze data to drive informed decision-making and growth.
• Collaborate with stakeholders to identify AI opportunities.
• Mentor and develop team members.

Skills

Python

C++

Machine Learning

Data Wrangling

Data Analysis

Leadership

Education

Bachelor's degree

Tools

TensorFlow

Scikit-Learn

Data pipelines

AWS

Databricks

Job description

PwC in Washington, DC is seeking an AI Engineer- Manager in Commercial Technology & Innovation to transform data into insights and drive business growth. You will design and deploy AI systems, lead teams, and own project budgeting and delivery.

You will apply Python and C++, wrangle data, and leverage TensorFlow/Scikit-Learn to build scalable ML models, mentoring colleagues and advancing our AI capabilities across advisory projects.