Senior Quality Automation Engineer – AI/LLM

Accenture México

Monterrey

Hybrid

MXN 900,000 - 1,200,000

Full time

2 days ago
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Job summary

Accenture México is seeking a Senior Quality Automation Engineer – AI/LLM to join a collaborative team delivering AI-enabled solutions. You will define measurable quality criteria, build automated testing suites, and provide evidence to support release-readiness decisions.

The ideal candidate has a strong background in quality engineering, test automation, and experience testing LLM, RAG, conversational AI, or agent-based solutions. Hybrid work in Monterrey with in-office days will be required.

Qualifications

  • 6+ years of experience in Software Quality Engineering, SDET, or Test Automation.
  • 2+ years of hands-on Playwright experience.

Responsibilities

  • Define and build automated testing and evaluation suites for AI-enabled solutions.
  • Provide independent evidence to support release-readiness decisions.
  • Collaborate with Product, Engineering, Architecture, and Business SMEs to translate requirements into risk-based test scenarios.

Skills

Quality engineering
SDET
Test automation
TypeScript/JavaScript
Python test automation
AI testing
REST APIs
CI/CD pipelines
Git workflows
Risk-based testing

Tools

Playwright
pytest
OpenAPI
Azure DevOps
Git

Job description

DARE TO BE A PART OF THE CHALLENGE! COME AND JOIN OUR TEAM TOGETHER WE CAN MAKE THE DIFFERENCE!

Did you know that Accenture is leading the digital transformation in the World?

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 offices, 120 cities, 56 countries and approximately 743,000 employees worldwide.

Offer
  • Career development according to your profile and interests.
  • Work in one of the best companies and feel proud.
  • Access to an innovative methodology and tools.
  • Direct contact with experts worldwide.
  • Use of work schemes and cutting-edge technologies.
  • Constant training.
  • Work environment based on teamwork and collaboration.
  • Participation in International Projects

We are looking for an experienced Senior Quality Automation Engineer – AI/LLM to join a collaborative team working on modern AI-enabled solutions. This role will partner closely with Product, Engineering, Architecture, and Business Subject Matter Experts to define measurable quality criteria, build automated testing and evaluation suites, and provide independent evidence to support release-readiness decisions.

The ideal candidate has a strong background in quality engineering and test automation, along with practical experience testing LLM, RAG, conversational AI, or agent-based solutions. Deep expertise in every AI evaluation tool is not required; we are looking for someone with solid automation fundamentals who can apply them effectively in AI-driven environments.

Required Qualifications
  • 6+ years of experience in Software Quality Engineering, SDET, or Test Automation.
  • 2+ years of hands-on Playwright experience.
  • Strong TypeScript or JavaScript skills.
  • Hands-on experience with Python test automation and pytest or comparable frameworks.
  • Practical experience testing LLM, RAG, conversational AI, or agent-based solutions.
  • Experience with REST APIs, JSON, OpenAPI, UI/API automation, and service integrations.
  • Experience integrating automated tests into CI/CD pipelines, preferably Azure DevOps.
  • Experience with Git-based development workflows.
  • Knowledge of AI-specific failure modes such as hallucination, grounding failure, prompt injection, unsafe tool use, and retrieval or permission defects.
  • Ability to translate requirements and acceptance criteria into risk-based test scenarios and traceable quality evidence.
  • Experience collaborating with Developers, Architects, Product Owners, and Business SMEs to investigate failures and provide release recommendations.
  • Strong written and verbal communication skills.

Location: Monterrey

Work model: Hybrid, with at least 3 days per week in the office.

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