AI Engineer- Manager- Commercial Technology & Innovation

PwC; Washington; On-site; USD 99,000 - 232,000; Full time

Benefits offered by this job

Annual discretionary bonus

Medical, dental, vision

Job summary

PwC is seeking an AI Engineer- Manager for its Advisory practice to design and deploy AI/ML solutions at scale. You will lead cross-functional teams, coach performance, and ensure high-quality delivery while aligning with business goals.

The role requires a Bachelor’s degree and 5+ years of experience in data science or AI, with travel up to 40%. Expect hands-on work with Python/C++, data wrangling, and cloud ML libraries to drive client outcomes.

Qualifications

• Must have a relevant Bachelor's degree and at least 5 years of experience in data science/AI roles.
• Proven ability to design and implement AI systems and scalable ML solutions.
• Strong programming experience in Python and C++, with ML libraries.

Responsibilities

• Design and implement AI systems to transform data into insights.
• Lead teams in developing scalable machine learning solutions.
• Apply data wrangling techniques to support AI deployment.
• Develop AI software using Python and C++.
• Manage data infrastructure, pipelines, and modeling processes.
• Utilize TensorFlow and Scikit-Learn for model training.
• Mentor team members and guide performance and growth.

Skills

Python

C++

TensorFlow

Scikit-Learn

Data Wrangling

ML Deployment

Team Leadership

Mentoring

Education

Bachelor's degree

Tools

AWS

Google Cloud

Azure

Databricks

Snowflake

Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Manager

Job Description & Summary

The Opportunity

As an AI Engineer- Manager- Commercial Technology & Innovation, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will motivate, develop, and inspire others to deliver quality, while coaching and managing performance to meet client expectations. You will articulate our purpose and values meaningfully, embracing technology and innovation to enhance delivery.

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. By partnering with team leadership, you will confirm collective ownership of quality, timelines, and deliverables, while encouraging skill development beyond comfort zones. Your leadership will be instrumental in addressing conflicts and upholding professional standards, contributing to the firm’s success.

Responsibilities

• Designing and implementing AI systems to transform raw data into actionable insights
• Leading teams in the development of scalable machine learning solutions
• Applying advanced data wrangling techniques to support AI model deployment
• Utilizing programming languages such as Python and C++ for AI software development
• Managing data infrastructure and integration to enhance data quality and accessibility
• Overseeing the creation and maintenance of data pipelines and modeling processes
• Leveraging machine learning libraries like TensorFlow and Scikit-Learn for model training
• Conducting complex data analysis to drive informed decision-making and business growth
• Collaborating with stakeholders to identify opportunities for AI-driven innovation
• Mentoring team members to develop their skills and encourage professional growth

What You Must Have

• At least a Bachelor’s degree
• At least 5 years of experience

What Sets You Apart

• Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
• At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
• Demonstrating proficiency in AI implementation and machine learning libraries
• Utilizing Python and C++ for complex data analysis and modeling
• Excelling in data integration and infrastructure management
• Implementing neural networks and reinforcement learning agents
• Leading projects with strategic planning and execution

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual’s skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.