> Markdown version of [/jobs/ext/2182197-lead-tech-business-mgmt-ai-software-engineer](https://www.wearedevelopers.com/jobs/ext/2182197-lead-tech-business-mgmt-ai-software-engineer). 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 Tech Business Mgmt - AI Software Engineer - **Company:** AT&T Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $118,800.0 - $178,200.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Business Software, C Sharp (Programming Language), Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Dataspaces, Data Visualization, Data Warehousing, Database Queries, DevOps, Electronic Data Interchange (EDI), Middleware, Executive Information Systems, Python (Programming Language), Knowledge-Based Systems, Machine Learning, Enterprise Messaging Systems, Power BI, Software Deployment, Software Engineering, Software Systems, Systems Integration, Tableau (Software), TypeScript, Workflow Management Systems, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Git, Event Driven Architecture, AI Platforms, Data Analytics, Machine Learning Operations, Tools for Reporting, Api Design, Looker Analytics, Data Pipelines, Service Stack, Databricks, Web Api - **Published:** August 22, 2026 - **Apply:** https://dejobs.org/x/x/B984D4D6829046AAAF55CF4A52FD9BFA/job/ ## About the Role We are seeking a highly adaptable and technically versatile AI Software Engineer to design, build, and maintain data-driven solutions that connect systems, automate processes, and generate actionable insights. This role requires a strong blend of software engineering, data engineering, analytics, and AI/ML expertise. The ideal candidate is comfortable working with unfamiliar technologies, learning new platforms quickly, and integrating disparate systems through APIs and automation. Success in this role depends less on experience with any single technology stack and more on the ability to understand complex business problems, rapidly acquire new technical knowledge, and build scalable solutions that bridge data, applications, and AI capabilities., Technical Skills * Strong software development experience using one or moremodern programming languages: * Python * Java * C# * JavaScript/TypeScript * Experience building and consuming APIs and web services. * Strong SQL skills and experience working with enterprise-scale datasets. * Experience developing data pipelines and automation workflows. * Understanding of cloud platforms and data ecosystems. * Experience creating analytics solutions and data visualizations. * Familiarity with AI/ML concepts and modern AI platforms. Data & Analytics * Experience working directly with raw data sources. * Strong data modeling and transformation skills. * Proficiency in dashboard and reporting platforms such as: * Power BI * Tableau * Looker * Similar BI tools AI / ML * Familiarity with: * Machine Learning * Generative AI * Large Language Models (LLMs) * Prompt Engineering * Retrieval-Augmented Generation (RAG) or other knowledge systems * AI APIs and model integration Integration * Capable of integrating multiple enterprise systems through APIs or other mechanisms. * Ability to understand and map complex business processes across platforms. * Experience with workflow orchestration and automation solutions., * Learns new technologies exceptionally fast. * Is comfortable operating in ambiguous environments. * Can independently investigate unfamiliar systems and determine how to integrate them. * Thinks in terms of end-to-end solutions rather than individual technologies. * Bridges the gap between business problems and technical implementation. * Can communicate effectively with both engineers and non-technical stakeholders. * Demonstrates curiosity, initiative, and a strong ownership mentality. * Is equally comfortable discussing APIs, data pipelines, AI models, and executive dashboards. Preferred Experience * Building AI-enabled business solutions. * Cloud platforms (Azure, AWS, or GCP). * Data warehouses and lakehouses. * Snowflake, Databricks, Fabric, Synapse, or similar platforms. * Git, CI/CD, and DevOps practices. * Event-driven architectures and messaging platforms. * MLOps or AI deployment frameworks. * Enterprise workflow automation. 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. ## Description Systems Integration & API Development * Design, develop, and maintain integrations between internal and external platforms. * Build and consume REST and other API-based services. * Develop middleware, connectors, and automation workflows that enable seamless data exchange across systems. * Troubleshoot integration issues and optimize performance, reliability, and scalability. * Evaluate new platforms and software solutions and rapidly develop working integrations. Data Engineering & Analytics * Extract, transform, and load (ETL/ELT) data from multiple structured and unstructured data sources. * Design scalable data pipelines and data models to support reporting, analytics, and AI initiatives. * Work directly with raw, complex, and potentially incomplete datasets to create trusted data assets. * Ensure data quality, governance, security, and lineage standards are met. * Optimize data processing workflows for performance and reliability. AI / Machine Learning Enablement * Integrate AI services, LLMs, predictive models, and intelligent automation capabilities into business workflows. * Support development and deployment of AI and machine learning solutions. * Prepare, transform, and engineer data for ML and GenAI use cases. * Partner with business teams to identify opportunities for AI-driven process improvements. * Evaluate emerging AI technologies and recommend practical business applications. Reporting & Visualization * Design and develop dashboards, reports, and visualizations that drive business decisions. * Translate complex datasets into intuitive and actionable insights. * Work closely with leadership and business stakeholders to define KPIs and success metrics. * Build self-service analytics solutions where appropriate. Technology Evaluation & Continuous Learning * Rapidly learn unfamiliar systems, platforms, and technologies. * Assess new tools and determine technical feasibility, integration requirements, and business value. * Serve as a technical problem solver capable of navigating ambiguity. * Stay current with emerging trends in AI, machine learning, analytics, cloud technologies, and software development. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [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) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)