AI Software Architect for Enterprise AI Platforms

AT&T inc.

Dallas (TX)

On-site

USD 189,000 - 284,000

Full time

4 days ago
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Benefits offered by this job

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement

Job summary

AT&T inc. is seeking an experienced AI-Enabled Software Development Architect to transform how software teams build, deliver, and scale AI-powered solutions.

You will be a hands‑on technical architect, advisor, and AI engineering expert driving AI-first practices and modern coding technologies across enterprise initiatives. The role focuses on production‑grade AI platforms, governance capabilities, and scaling AI adoption, with a focus on improving developer productivity and reducing token

Qualifications

  • PhD or Master’s/Bachelor’s with extensive relevant experience as listed.
  • Hands‑on experience with NVIDIA AI technology stack.
  • Deep knowledge of large language model inference.
  • Experience designing production‑grade AI or ML solutions.
  • Experience with AI‑assisted software development tools and practices.

Responsibilities

  • AI Architecture & Engineering design for agentic AI solutions.
  • Design and optimize LLM inference architectures for performance and cost.
  • Build AI-powered automation to boost developer productivity.
  • Support governance capabilities like AI Gateway and Agent365.
  • Translate business requirements into scalable AI architectures.
  • Evaluate emergent AI technologies and determine implementation approach.
  • Partner with software teams to accelerate AI‑assisted development.

Education

PhD in Computer Science or related field
Master’s degree in related field
Bachelor’s degree in related field

Tools

NVIDIA AI technology stack
LLM inference
Claude Code
Windsurf
Codex
Agent365
AI Gateway

Job description

AT&T inc. is seeking an experienced AI-Enabled Software Development Architect to transform how software teams build, deliver, and scale AI-powered solutions.

You will be a hands‑on technical architect, advisor, and AI engineering expert driving AI-first practices and modern coding technologies across enterprise initiatives. The role focuses on production‑grade AI platforms, governance capabilities, and scaling AI adoption, with a focus on improving developer productivity and reducing token

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