AI Engineer- Manager- Commercial Technology & Innovation

Posted 50 Minutes Ago
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5 Locations
Hybrid
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role
Lead design and delivery of scalable AI/ML systems: data wrangling, model training, deployment, and infrastructure. Manage teams, mentor staff, own project planning/budgeting, and collaborate with stakeholders to drive AI-driven business insights.
Summary Generated by Built In
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
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.

Skills Required

  • Bachelor's degree
  • At least 5 years of experience
  • Designing and implementing AI systems and scalable machine learning solutions
  • Proficiency in Python
  • Proficiency in C++
  • Experience with TensorFlow and Scikit-Learn
  • Experience managing data infrastructure, data integration, and pipelines
  • Leadership and team management experience (mentoring, performance management)
  • Certifications aligned to data engineering, machine learning, or cloud platforms (AWS, GCP, Azure, Databricks, Snowflake)
  • Experience implementing neural networks and reinforcement learning agents
  • Degree in Analytics/Data Science, AI/Robotics, Computer Science, Information Systems, or Engineering (preferred)

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • Retirement Support An employer-funded Wealth Builder contribution sits alongside the 401(k), a distinctive feature that strengthens long-term savings and is highlighted as a clear plus.
  • Parental & Family Support Policies include 12 weeks of paid leave for all parents with a phased return, along with support for fertility, surrogacy/adoption, and childcare resources.
  • Wellbeing & Lifestyle Benefits Mental-health commitments, coaching and app access, fitness programs, hybrid flexibility, and firmwide U.S. shutdown weeks underscore a strong focus on wellbeing, with recent recognition for excellence in health and well-being.

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The Company
HQ: New York, NY
370,000 Employees
Year Founded: 1998

What We Do

Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.

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