AI Engineering Lead & Senior Manager — Scale AI Solutions

PwC; Washington (District of Columbia); On-site; USD 124,000 - 280,000; Full time

Benefits offered by this job

Medical, dental, vision

401k

Paid time off

Job summary

PwC is seeking an AI Engineering Lead (Senior Manager) to transform raw data into actionable insights for clients in Advisory. You will design, build, and deploy AI and ML solutions at scale, while coaching teams and communicating outcomes clearly to stakeholders.

In this role, you will lead data wrangling and software implementation, employing Python, Java, and C++ to create robust solutions. Expect a dynamic, collaborative environment with a strong focus on open-source ML tools and continuous

Qualifications

• Bachelor's degree minimum in a relevant field.
• 7+ years of experience in AI/ML, data engineering, or related areas.
• Demonstrated ability to lead and coach teams to solve complex problems.

Responsibilities

• Lead design and development of AI systems to extract insights from data.
• Oversee scalable AI/ML deployments for client projects.
• Guide data wrangling and software implementation for AI models.
• Mentor teams and drive best practices in data engineering.
• Apply Python, Java, and C++ to build robust data solutions.
• Promote open-source tooling and ML libraries like TensorFlow/Scikit-Learn.
• Collaborate with stakeholders to validate outcomes and gather feedback.
• Drive innovation through advanced data modeling and analytics.

Skills

Python

Java

C++

Education

Bachelor's degree

Tools

TensorFlow

Scikit-Learn

AWS

Google Cloud

Microsoft Azure

Databricks

Snowflake

Job description

PwC is seeking an AI Engineering Lead (Senior Manager) to transform raw data into actionable insights for clients in Advisory. You will design, build, and deploy AI and ML solutions at scale, while coaching teams and communicating outcomes clearly to stakeholders.

In this role, you will lead data wrangling and software implementation, employing Python, Java, and C++ to create robust solutions. Expect a dynamic, collaborative environment with a strong focus on open-source ML tools and continuous