Lead Data/AI Engineering

AT&TAtlanta, GA
$141,300 - $237,400Onsite

About The Position

The Artificial Intelligent (AI) Accelerator Team is a strategic AI product, solutions, and data science organization focused on rapidly identifying business opportunities, developing AI-powered capabilities, and delivering measurable business impact across organization. The team partners across the enterprise to accelerate innovation, integrate AI into core business processes, and drive value realization at scale. We are building a high-performing team of leaders, architects, AI experts, product managers, data scientists, and delivery professionals who can transform ideas into deployed solutions, accelerate adoption, and deliver sustainable business outcomes quickly and effectively.

Requirements

  • 5+ years of related experience in area of professional responsibility
  • 5+ years in a technology architect and/or developer role
  • 5+ years' experience managing direct reports.
  • Certification is required in some areas.
  • Understanding a business problem to determine if AI can solve it.
  • Builds the agent/model/application
  • Connects it to enterprise systems and data
  • Tests and deploys it to production

Nice To Haves

  • As a Lead Data/AI Engineering, within the AI Accelerator Team, this position will design, build, test, and deploy AI agents, copilots, and intelligent applications, spanning generative AI, LLMs, prompt engineering, RAG, APIs, and integrations, to move from business problems to production.
  • Partners with stakeholders deliver scalable, secure, enterprise-grade solutions that streamline processes and drive measurable business, operational, and financial results.
  • Working to create fast solutioning for the business.
  • This is a fast-paced opportunity to help shape the future of AI within AT&T Field Operations.
  • We're looking for collaborative leaders who thrive in dynamic environments, embrace change, and are passionate about building culture, developing teams, and delivering meaningful business impact.

Responsibilities

  • Design, build, test, deploy, and maintain AI agents, copilots, and intelligent applications.
  • Develop Generative AI and Large Language Model (LLM) solutions, including prompt engineering and Retrieval Augmented Generation (RAG).
  • Build APIs, integrations, automations, and microservices that enable AI solutions to operate within business processes.
  • Collect, prepare, and analyze data to support AI and machine learning models.
  • Monitor AI performance, troubleshoot issues, optimize outcomes, and continuously improve solutions after deployment.
  • Ensure AI solutions are secure, compliant, governed, and operationally reliable.
  • Partner with business, operations, product, and technology teams to translate business challenges into AI-enabled solutions.

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
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