Principal Tech Business Mgmt - AI Data Engineer

Posted Yesterday
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Dallas, TX, USA
In-Office
131K-196K Annually
Senior level
Internet of Things • Mobile • Retail
The Role
Design and build integrations, data pipelines, and AI-enabled solutions. Develop APIs, ETL/ELT workflows, analytics dashboards, and ML/GenAI integrations. Ensure data quality, governance, and scalable pipelines while partnering with business stakeholders to translate problems into automated, data-driven solutions.
Summary Generated by Built In

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.
 

Key Responsibilities

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.
     

Required Qualifications

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.

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.

Our Principal Tech Business Mgmt earns between $130,700 - $196,100 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  

  • Adoption Reimbursement  

  • Disability Benefits (short term and long term)  

  • Life and Accidental Death Insurance  

  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal  

  • Employee Assistance Programs (EAP)  

  • Extensive employee wellness programs  

  • 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

If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.  Apply today!
 

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 Principal Tech Business Mgmt jobs earn between $130,700.00 - $196,100.00 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
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • 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:

$130,700.00 - $196,100.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Skills Required

  • Strong software development experience using Python, Java, C#, JavaScript/TypeScript
  • Experience building and consuming APIs and web services (REST and others)
  • Strong SQL skills and experience with enterprise-scale datasets
  • Experience developing data pipelines and automation workflows (ETL/ELT)
  • Understanding of cloud platforms and data ecosystems
  • Experience creating analytics solutions and data visualizations
  • Familiarity with AI/ML concepts and modern AI platforms (ML, Generative AI, LLMs, Prompt Engineering, RAG)
  • Experience working directly with raw, complex, or incomplete data sources
  • Strong data modeling and transformation skills
  • Proficiency with dashboard and reporting platforms such as Power BI, Tableau, Looker or similar BI tools
  • Capable of integrating multiple enterprise systems through APIs and other mechanisms
  • Experience with workflow orchestration and automation solutions
  • Building AI-enabled business solutions
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Experience with data warehouses and lakehouses (Snowflake, Databricks, Fabric, Synapse, or similar)
  • Experience with Git, CI/CD, and DevOps practices
  • Experience with event-driven architectures and messaging platforms
  • Experience with MLOps or AI deployment frameworks
  • Experience with enterprise workflow automation

AT&T Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AT&T and has not been reviewed or approved by AT&T.

  • Healthcare Strength Health coverage spans medical, dental, vision, and mental health services, plus a personal healthcare team, wellness apps, and supplemental options such as fertility care, cancer support, doula services, and wigs for chemotherapy. These comprehensive offerings are portrayed as supporting a wide range of employee needs.
  • Leave & Time Off Breadth Paid time off includes vacation, holidays, sick days, caregiver time, parental leave, and adoption assistance, with some roles reaching about 23 days of PTO after several years. Community volunteer days and flexible time off options add further support for work-life balance.
  • Wellbeing & Lifestyle Benefits Employees receive sizable service discounts like 50% off most wireless plans and broadband, along with savings on travel, event tickets, and insurance. Additional workplace perks such as hybrid work models and relocation assistance contribute to overall value.

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The Company
HQ: Dallas, TX
150,000 Employees

What We Do

Bring us your biggest career aspirations. Share your boldest dreams. This is a moment to get energized. Through 5G and Fiber, AT&T provides connectivity that leads to smarter homes, safter communities, higher quality health care and more life-changing innovations. With AT&T, Connecting Changes Everything.

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