AI Engineer Manager, Commercial Technology & Innovation

PWC

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NYTampa, FLAtlanta, GAChicago, ILWashington, DC
Salary: $99,000–$232,000 / yr
Employment: Full-time
Posted: 71 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $208k

This role $166k

$79k $282k

below market most similar roles pay here above market

This role pays less than 70% of similar roles. Most pay $162,000–$253,812 — the blue band above. At the midpoint, this role pays about $166k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 101 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 97 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · AI Engineer Manager, Commercial Technology & Innovation

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JOB TITLE: AI Engineer- Manager- Commercial Technology & Innovation As an AI Engineer- Manager- Commercial Technology & Innovation within the Advisory practice, you will lead teams to transform raw data into actionable insights for clients. You will design, build, and deploy scalable AI and machine learning solutions, overseeing project planning, budgeting, and execution. Your daily work involves data wrangling, software implementation, and managing data infrastructure to enhance quality and accessibility. You will utilize programming languages including Python and C++ while leveraging machine learning libraries such as TensorFlow and Scikit-Learn. The role requires implementing neural networks and reinforcement learning agents to solve complex business problems. You will manage data pipelines, conduct complex analysis, and mentor team members to ensure high-quality deliverables and professional growth while identifying opportunities for AI-driven innovation across various technical domains.

Skills

Python C++ Machine Learning TensorFlow Scikit-Learn AWS Google Cloud Microsoft Azure Databricks Snowflake Data Engineering Neural Networks Reinforcement Learning Data Pipelines Data Wrangling Data Infrastructure

What you'll do

Design and implement AI systems to transform raw data into actionable business insights.
Lead teams in the development and deployment of scalable machine learning solutions.
Apply advanced data wrangling techniques and programming languages like Python and C++ for software development.
Manage data infrastructure, integration, and the maintenance of data pipelines and modeling processes.
Utilize machine learning libraries such as TensorFlow and Scikit-Learn for model training.
Conduct complex data analysis to drive informed decision-making and business growth.
Oversee project lifecycles including strategic planning, budgeting, and execution.
Mentor team members to develop technical skills and encourage professional growth.

What we're looking for

At least a Bachelor's degree.
At least 5 years of experience.
Preference for a degree in Analytics, Data Science, AI, Robotics, Computer Science, Information Systems, or Engineering (preferred).
Certifications in data engineering, machine learning, or cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake (preferred).
Proficiency in AI implementation and machine learning libraries (preferred).
Proficiency in using Python and C++ for complex data analysis and modeling (preferred).
Excellence in data integration and infrastructure management (preferred).
Experience implementing neural networks and reinforcement learning agents (preferred).

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