Lead Data/ai Engineering

AT&T AT&T · Telecom · Dallas, TX +1

Lead Data/AI Engineering role focused on designing, building, testing, and deploying AI agents, copilots, and intelligent applications, including Generative AI, LLMs, prompt engineering, and RAG. The role involves developing APIs, integrations, and microservices, preparing data for AI models, monitoring performance, and ensuring security and compliance. It requires translating business challenges into AI-enabled solutions and partnering with various teams to deliver scalable, enterprise-grade solutions.

What you'd actually do

  1. Design, build, test, deploy, and maintain AI agents, copilots, and intelligent applications.
  2. Develop Generative AI and Large Language Model (LLM) solutions, including prompt engineering and Retrieval Augmented Generation (RAG).
  3. Build APIs, integrations, automations, and microservices that enable AI solutions to operate within business processes.
  4. Collect, prepare, and analyze data to support AI and machine learning models.
  5. Monitor AI performance, troubleshoot issues, optimize outcomes, and continuously improve solutions after deployment.

Skills

Required

  • AI agents
  • copilots
  • intelligent applications
  • Generative AI
  • Large Language Models (LLM)
  • prompt engineering
  • Retrieval Augmented Generation (RAG)
  • APIs
  • integrations
  • automations
  • microservices
  • data preparation
  • data analysis
  • AI model support
  • AI performance monitoring
  • troubleshooting
  • optimization
  • continuous improvement
  • security
  • compliance
  • governance
  • operational reliability
  • stakeholder partnership
  • technology architect
  • developer
  • managing direct reports

Nice to have

  • Computer Science degree

What the JD emphasized

  • 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
  • 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

Other signals

  • AI agents
  • Generative AI
  • LLM solutions
  • RAG
  • APIs and integrations
  • deploy AI agents, copilots, and intelligent applications