AI Engineering Manager: Lead Innovative AI Solutions

PwC; Florham Park (NJ); On-site; USD 99,000 - 252,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401k plan

Holiday pay

Job summary

PwC is seeking a Manager in the AI Engineering team within Digital Assurance & Technology to lead advanced AI/ML projects and client engagements. You will guide teams, mentor staff, and ensure delivery quality while upholding professional standards and integrity.

You will design data-driven solutions, evaluate models, and develop tools to enable reliable AI deployment across client scenarios. This role emphasizes strategic planning and accountability.

Qualifications

• At least a Bachelor's degree and 4+ years of experience.
• Experience leading AI/ML projects and teams.
• Strong Python programming and data modeling skills.
• Proven ability to translate technical findings for clients and non-technical stakeholders.

Responsibilities

• Lead development and implementation of AI/ML solutions to drive innovation and automate processes.
• Design and optimize algorithms, models, and data systems for intelligent decision-making.
• Transform raw data into actionable insights to support decision-making.
• Mentor team members and manage performance to meet client expectations.
• Review testing approaches for AI system behavior, robustness, bias, explainability, and failure modes.
• Develop reusable evaluation tools, automated tests, and evidence workflows.

Skills

AI implementation

Python

Data modeling

Machine learning

Data analysis

Team leadership

Client management

Relational databases

Education

Bachelor's degree

Tools

SQL

Pandas

Scikit-learn

TensorFlow

Job description

PwC is seeking a Manager in the AI Engineering team within Digital Assurance & Technology to lead advanced AI/ML projects and client engagements. You will guide teams, mentor staff, and ensure delivery quality while upholding professional standards and integrity.

You will design data-driven solutions, evaluate models, and develop tools to enable reliable AI deployment across client scenarios. This role emphasizes strategic planning and accountability.