> Markdown version of [/jobs/ext/2309129-lead-data-ai-engineering-applied-ai](https://www.wearedevelopers.com/jobs/ext/2309129-lead-data-ai-engineering-applied-ai). 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 Data/AI Engineering - Applied AI

- **Company:** AT&T Inc.
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $158,200.0 - $237,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Data Infrastructure, Decision Support Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, DataOps, Azure Machine Learning, Search Technologies, Software Engineering, SQL Databases, Transmission Control Protocol (TCP), Snowflake, Generative AI, Fastapi, AI Platforms, Information Technology, Machine Learning Operations, Api Design, Software Version Control, Data Pipelines, Docker, Databricks
- **Published:** August 30, 2026
- **Apply:** https://dejobs.org/x/x/107200F0908F41A49D128F8CB33142B6/job/

## About the Role

Education/Experience: Bachelor's degree desired in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related technical or quantitative field. Equivalent professional experience will also be considered. Five or more years of related experience. Certification is required in some areas.

## Description

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered

Overall Purpose: Architect, develop, deploy, and optimize secure, scalable AI intelligence and machine learning capabilities that transform trusted enterprise data into predictive insights and decision support. Apply modern platform engineering, data engineering, statistical modeling, AI evaluation, and software development practices to move analytical capabilities from experimentation into reliable production solutions.

Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following:

 * AI Intelligence and Predictive Engineering: Design and productionize forecasting, anomaly detection, driver analysis, segmentation, recommendation, and other machine learning capabilities. Translate complex business questions into measurable analytical problems, technical requirements, models, and scalable decision solutions.
 * Generative AI and Evaluation: Develop AI and large language model solutions using patterns such as retrieval augmented generation, semantic search, structured outputs, tool integration, and agent workflows. Establish evaluation standards for accuracy, relevance, groundedness, explainability, consistency, performance, cost, and business value.
 * Data and Semantic Engineering: Build reusable data pipelines, analytical data models, features, semantic models, and governed data products using Python, SQL, Snowflake, Databricks, or comparable technologies. Implement data contracts, lineage, validation, reconciliation, quality controls, and consistent business definitions across source systems, models, and consuming applications.
 * AI Platform and Production Operations: Build the services and platform capabilities required to deploy, integrate, monitor, and scale machine learning and AI solutions. Apply version control, automated testing, continuous integration and delivery, model monitoring, data drift detection, observability, security, and lifecycle management across models, prompts, features, and evaluation datasets.
 * Business Value and Technical Leadership: Partner with business, data, application, cloud, security, and architecture teams to move AI capabilities from concept through supported production use. Communicate assumptions, uncertainty, limitations, risks, and business implications while establishing reusable engineering standards and mentoring analysts and engineers.
 * Technologies: Demonstrate advanced experience with Python and SQL, modern data platforms such as Snowflake or Databricks, statistical and machine learning methods, API development, and cloud platforms such as Azure. Experience with Azure Machine Learning, Microsoft Foundry, Azure OpenAI, MLflow, Docker, FastAPI, model operations, generative AI, vector search, and data observability is preferred.

Job Contribution: An experienced professional, recognized as an expert, who creatively resolves complex AI, data, analytical, and platform challenges using broad and in depth technical knowledge. Leads significant initiatives with strategic autonomy, influences technical and executive decisions, mentors less experienced staff, and connects emerging technologies to measurable business outcomes.


## Related Videos

- [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)
- [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai)
- [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker)

## 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)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [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)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)