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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer / Data Scientist, AI Experienced Associate - **Company:** PwC - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $63,000.0 - $141,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Information Systems, Information Engineering, Machine Learning, Software Engineering, Product Software Implementation Methods, Data Processing, Google Cloud, Snowflake, Backend, Build Management, Information Technology, Front End Software Development, Databricks - **Published:** July 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=128c197a4a0f9437 ## About the Role * At least a Bachelor's degree * At least 1 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 techniques * Excelling in client support within fast-paced environments * Adapting quickly to diverse client needs and project scopes * Building a personal brand through consistent quality work * Utilizing analytical skills to discern patterns and insights ## Description Associate Travel Requirements Up to 20% Locations Chicago, Stamford, Los Angeles, Washington D.C., Boston, Detroit, New York, Florham Park, Dallas, San Francisco, Silicon Valley, Philadelphia The Opportunity As part of the AI Engineering team within the Digital Assurance & Technology team, we're seeking an innovative and versatile AI professional with AI and ML development and/or testing expertise. In this role, you'll work with teams that are building and deploying scalable AI-powered solutions within real-world applications. You'll work cross-functionally with data scientists, ML engineers, backend/frontend developers, and product teams to help test and deliver impactful AI products. In this role, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. You will be expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. Embrace the opportunity to grow in a fast-paced environment, adapting to diverse challenges and contributing to innovative solutions. Responsibilities * Designing and implementing AI systems to transform raw data into actionable insights * Developing scalable machine learning models to support client decision-making processes * Collaborating with cross-functional teams to integrate AI solutions into existing platforms * Conducting data wrangling and preprocessing to prepare datasets for analysis * Applying advanced algorithms to enhance the performance of AI models * Building and deploying software systems that leverage AI and machine learning technologies * Analyzing complex data sets to identify patterns and trends that inform business strategies * Supporting client engagements by delivering quality work and adapting to diverse project requirements * Engaging in continuous learning to deepen technical skills and knowledge in AI engineering * Upholding professional and technical standards while contributing to team success ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [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) - [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) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## 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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