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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ERP AI Engineer - Manager - **Company:** PwC - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $99,000.0 - $232,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Data Cleansing, Data Infrastructure, Data Transformation, Data Visualization, Machine Learning, Oracle Data Service Integrator, Oracle Databases, Oracle (Applications), Oracle Warehouse Builder, Search Technologies, Software Engineering, Large Language Models, Prompt Engineering, Containerization, Oracle Service Cloud, Information Technology, Machine Learning Operations, Microservices - **Published:** July 30, 2026 - **Apply:** https://dejobs.org/x/x/D8DB29B6FD27458C97A08203AF72DBE6/job/ ## About the Role * Bachelor's Degree * At least 7 years of experience in AI/ML engineering, data science, or a related technical role What Sets You Apart * Master's Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field preferred * Experience with Large Language Models and prompt engineering * Building scalable, cloud-native microservices and containerized deployments * Proficiency with MLOps tooling and CI/CD pipelines for ML * Experience with vector databases and semantic search architectures * Translating complex business problems into AI solution designs * Contributing to business development and proposal writing * Cloud certifications in AI/ML or solutions architecture preferred * Familiarity with Responsible AI principles and bias mitigation practices ## Description In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a technical leader and a trusted advisor to clients, combining AI/ML knowledge with business acumen to design and deliver AI solutions that drive measurable client outcomes. As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers the chance to shape AI solution architecture while driving innovation and excellence in client engagements. Responsibilities * Lead and mentor teams of data scientists and ML engineers * Manage client relationships and promote satisfaction with deliverables * Translate intricate business challenges into AI-driven strategies * Design and implement AI solution architectures * Drive innovation and excellence in client engagements * Analyze data to derive actionable insights and solutions * Collaborate with stakeholders to align on project objectives * Uphold exceptional standards of quality and integrity in every task ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) ## 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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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