> Markdown version of [/jobs/ext/2016071-lead-generative-ai-data-engineer-iii](https://www.wearedevelopers.com/jobs/ext/2016071-lead-generative-ai-data-engineer-iii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Generative AI Data Engineer III

- **Company:** Deloitte T.T.L.
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Application Performance Management, Information Technology Consulting, Python (Programming Language), Tensorflow, Pytorch, Generative AI, AI Platforms, Pyspark, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/lead-generative-ai-data-engineer-iii-atlanta-ga-usa-58885135

## About the Role

within and business teams to translate requirements into scalable solutions * Coach and mentor junior practitioners and monitor model/application performance to improve accuracy and scalability Tasks * Bachelor in Computer Science * 7+ years of professional experience * 5+ years designing, developing, or deploying ML/AI/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 * 1+ years working with AI technologies such as Gemini, Anthropic, OpenAI * Active certification in Python, Pyspark, Pytorch, and Tensorflow * Ability to travel 20% * Legal authorization to work in the United States without sponsorship Key requirements *

## Description

Experteer Overview In this role you will lead design, development, and deployment of ML/AI solutions for business and client use cases within Deloitte's AI & Data team. You will guide AI engineering workstreams, mentor junior practitioners, and oversee end-to-end data pipelines and production components that power AI-enabled products. Collaboration with cross-functional teams will translate requirements into scalable technologies, driving accuracy, reliability, and impact for clients in government and public services. This is a chance to shape AI platforms and contribute to mission-driven outcomes at scale. Compensation / Benefits * Lead the design, development, testing, and deployment of ML/AI solutions for client use cases * Manage AI engineering workstreams: assign work, review deliverables, ensure quality and timely delivery * Develop and oversee data pipelines, model training workflows, and production-grade components * Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable solutions * Coach and mentor junior practitioners and monitor model/application performance to improve accuracy and scalability Tasks * Bachelor in Computer Science * 7+ years of professional experience * 5+ years designing, developing, or deploying ML/AI/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 * 1+ years working with AI technologies such as Gemini, Anthropic, OpenAI * Active certification in Python, Pyspark, Pytorch, and Tensorflow * Ability 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. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions)

## Related Articles

- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [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)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)