AI Engineering Lead & Senior Manager — Commercial Innovation

PwC; New York (NY); On-site; USD 124,000 - 280,000; Full time

Job summary

PwC Advisors seeks an AI Engineering Lead and Senior Manager to design and deploy AI and machine learning solutions at scale for clients in New York. You will lead data wrangling, system design, and software implementation to enable scalable AI models, and you will craft clear messages, validate outcomes with clients, and drive continuous improvement.

You will cultivate diverse, inclusive teams, coach engineers, govern open-source tooling like TensorFlow and Scikit-Learn, and guide projects from

Qualifications

• Bachelors degree required.
• 7+ years of experience required.

Responsibilities

• Lead the design and development of AI systems to transform data into insights.
• Deploy scalable AI/ML solutions for client projects.
• Oversee data wrangling and software implementation for AI models.
• Guide teams in applying advanced data engineering techniques.
• Use Python and C++ to develop robust data solutions.
• Implement data integration and modeling strategies for AI initiatives.
• Direct complex data analysis to identify opportunities for innovation.
• Collaborate with stakeholders to validate outcomes and incorporate client feedback.
• Promote open-source software and ML libraries like TensorFlow and Scikit-Learn.
• Coach diverse teams to solve complex problems and achieve project success.

Skills

Python

C++

Java

Data wrangling

Data modeling

Team leadership

Stakeholder comms

Education

Bachelors degree

Data engineering certs

ML/AI certs

Cloud certs

Tools

TensorFlow

Scikit-Learn

AWS

Google Cloud

Microsoft Azure

Databricks

Snowflake

Job description

PwC Advisors seeks an AI Engineering Lead and Senior Manager to design and deploy AI and machine learning solutions at scale for clients in New York. You will lead data wrangling, system design, and software implementation to enable scalable AI models, and you will craft clear messages, validate outcomes with clients, and drive continuous improvement.

You will cultivate diverse, inclusive teams, coach engineers, govern open-source tooling like TensorFlow and Scikit-Learn, and guide projects from