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.
What you'll do
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.
Requirements
Technical Skills
Strong software development experience using one or more
modern 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.
Critical Success Factors
The ideal candidate:
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.
Nice to have
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.
Our Lead Tech Business Mgmt jobs earn between $118,800.00 - $178,200.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Weekly Hours:
40
Time Type:
Regular
Location:
Dallas, Texas
Salary Range:
$118,800.00 - $178,200.00
AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.