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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Generative AI Data Engineer III - **Company:** Deloitte T.T.L. - **Location:** Philadelphia, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Performance Management, Information Technology Consulting, Python (Programming Language), Tensorflow, User-Centered Design, Pytorch, Generative AI, Pyspark, Information Technology, Data Management, Machine Learning Operations, Data Pipelines - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/lead-generative-ai-data-engineer-iii-philadelphia-pa-usa-58885136 ## About the Role _ monitor model/application performance Tasks * Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related quantitative field * 7+ years of professional experience * 5+ years designing, developing, or deploying ML/AI/advanced analytics solutions * 3+ years programming in Python, PySpark, PyTorch, and TensorFlow * 2+ years of technology consulting in the Federal Health space * 2+ years deploying ML models into production * 2+ years leading technical teams or workstreams in AI/ML delivery * 1+ years working with AI technologies such as Gemini, Anthropic, and OpenAI * Active certification in Python, PySpark, PyTorch, and TensorFlow * Willingness to travel ~20% * Legal authorization to work in the United States without sponsorship Key requirements * ## Description Experteer Overview In this role you will lead the end-to-end design, development, and deployment of ML/AI solutions for client use cases within Deloitte's AI & Data portfolio. You'll drive AI engineering workstreams, build scalable data pipelines, and oversee production-grade components. You will collaborate with cross-functional teams to translate requirements into robust solutions and mentor junior practitioners. The opportunity sits within Deloitte's Government & Public Services practice, helping clients mature their AI and data capabilities at scale. Compensation / Benefits * Design, develop, test, and deploy ML/AI solutions for client use cases * Manage AI engineering workstreams, assign work, review deliverables, ensure quality and deadlines * Develop data pipelines, model training workflows, and production-grade components * Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements * Coach and mentor junior practitioners and monitor model/application performance Tasks * Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related quantitative field * 7+ years of professional experience * 5+ years designing, developing, or deploying ML/AI/advanced analytics solutions * 3+ years programming in Python, PySpark, PyTorch, and TensorFlow * 2+ years of technology consulting in the Federal Health space * 2+ years deploying ML models into production * 2+ years leading technical teams or workstreams in AI/ML delivery * 1+ years working with AI technologies such as Gemini, Anthropic, and OpenAI * Active certification in Python, PySpark, PyTorch, and TensorFlow * Willingness to travel ~20% * Legal authorization to work in the United States without sponsorship Key requirements * ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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