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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer- Manager- Commercial Technology & Innovation - **Company:** PwC - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $99,000.0 - $232,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Artificial Neural Networks, Microsoft Azure, C++ (Programming Language), Cloud Computing, Information Systems, Information Engineering, Data Infrastructure, Data Integration, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Product Software Implementation Methods, Reinforcement Learning, Data Processing, Google Cloud, Snowflake, Build Management, Scikit Learn, Information Technology, Machine Learning Operations, Data Pipelines, Software Library, Databricks, Programming Languages - **Published:** August 21, 2026 - **Apply:** https://www.dice.com/job-detail/61d7c130-b131-4be3-8c95-3f1facb0b32c ## About the Role 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 ## Description 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Got AI ideas but no money? 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