AI Automation Engineer-sre Focus (early Career)

at AT&T · Telecom · Alpharetta, GA +1

Early-career AI Automation Engineer focused on Generative AI, Agentic AI, automation, and reliability engineering. The role involves building AI-driven platforms for system monitoring, incident analysis, and remediation, including AI agents and autonomous workflows. Requires strong Python coding skills and experience with AI/GenAI projects, LLMs, prompt engineering, embeddings, and agents.

What you'd actually do

  1. Build Generative AI and Agentic AI solutions that automate system monitoring, incident analysis, and remediation
  2. Develop AI-powered assistants and runbooks that guide engineers during incidents
  3. Create autonomous workflows that analyze logs, metrics, and events and take corrective actions
  4. Write clean, production-ready automation code (Python, scripts, APIs)
  5. Partner with engineers to improve system reliability, performance, and observability

Skills

Required

  • Python
  • LLMs
  • prompt engineering
  • embeddings
  • agents
  • AI automation projects
  • LangChain
  • OpenAI APIs/Azure OpenAI
  • MCP

Nice to have

  • cloud platforms
  • containers
  • Oracle EBS
  • Oracle Fusion Cloud
  • DevOps tools
  • logs
  • metrics
  • monitoring concepts
  • AI for automation
  • AI for reliability
  • AI for system analysis

What the JD emphasized

  • very strong hands‑on experience with AI and Generative AI
  • Very strong experience with AI and Generative AI
  • AI agents or autonomous workflows
  • AI‑powered tools, bots, or decision systems
  • real AI systems in production

Other signals

  • Generative AI
  • Agentic AI
  • automation
  • reliability engineering
  • production systems
Read full job description

AI Automation Engineer-SRE Focus (Early Career)

Focus: Generative AI, Agentic AI, Automation & Reliability Engineering

Role Overview

We’re hiring an early‑career AI Automation Engineer to help build the next generation of AI‑driven automation and reliability platforms. This role is ideal for a recent graduate from a top Computer Science or Computer Engineering program who has very strong hands‑on experience with AI and Generative AI through internships, research, labs, or real‑world projects.

You’ll work at the intersection of Generative AI, Agentic AI, automation, and reliability engineering, building systems that detect issues, reason about them, and take action—often autonomously. Think AI agents, self‑healing systems, intelligent runbooks, and automated incident response at real enterprise scale.

This is a great role if you love:

  • Applying AI to real production problems
  • Building systems that think, reason, and act
  • Learning SRE and platform engineering hands‑on, with strong mentorship

What You’ll Do

  • Build Generative AI and Agentic AI solutions that automate system monitoring, incident analysis, and remediation
  • Develop AI‑powered assistants and runbooks that guide engineers during incidents
  • Create autonomous workflows that analyze logs, metrics, and events and take corrective actions
  • Write clean, production‑ready automation code (Python, scripts, APIs)
  • Partner with engineers to improve system reliability, performance, and observability
  • Learn core SRE fundamentals: reliability, monitoring, incident response, and postmortems

What You’ll Bring

Experience

  • 2+ years of experience (can include internships, co‑ops, research, and strong project work.
  • At least 1-2 internships and/or co-ops required. Hands on work experience is essential.
  • Bachelor’s degree in Computer Science, Computer Engineering, or related field

AI & Engineering Skills (Must Have)

  • Very strong experience with AI and Generative AI

    • LLMs, prompt engineering, embeddings, agents, or AI automation projects

  • Hands‑on coding experience in Python (or similar language)

  • Experience building or experimenting with:

    • AI agents or autonomous workflows
    • AI‑powered tools, bots, or decision systems

  • Tech Stack

    • Core programming

      • Python, SQL, Java/Scala/JavaScript, Git, GitHub, VSCode

    • Data Analysis

      • NumPy

    • Autonomous agents

      • LangChain, OpenAI APIs/Azure OpenAI, MCP

    • Data Engineering

      • Snowflake, Kafka, Airflow

    • Database

      • Oracle, PostgreSQL

    • Monitoring

      • ELK Stack, Grafana, Prometheus

    • Collaboration: Jeera, Microsoft Teams

Nice to Have (Not Required)

  • Exposure to cloud platforms, containers or Oracle EBS and/or Oracle Fusion Cloud, or DevOps tools
  • Familiarity with logs, metrics, or monitoring concepts
  • Experience using AI for automation, reliability, or system analysis

Why This Role Is Different

  • You’ll work on real AI systems in production, not demos
  • Strong focus on learning, mentorship, and growth
  • Opportunity to shape how AI automates and improves complex systems
  • Direct impact using cutting‑edge Generative and Agentic AI

Our Senior System Engineering , earns between $143,800-$215,800 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.

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.

#LI-Onsite – Full-time office role-

Ready to join our team? Apply today.

Weekly Hours:

40

Time Type:

Regular

Location:

Alpharetta, Georgia, Plano, Texas

**Salary Range: **

$128,400.00 - $215,800.00

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.