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Senior AI QA Lead: ML​/GenAI Testing & Automation

Job in The Woodlands, Montgomery County, Texas, USA
Listing for: Entergy
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, IT QA Tester / Automation, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Job Title: AI Quality Assurance Specialist Sr. Lead

Work Place Flexibility: Hybrid

Legal Entity: Entergy Services, LLC

  • The preferred location for this role is New Orleans, LA. Other locations within Entergy’s service territory may be considered**
    *


Job Summary /Purpose

This role blends traditional software QA skills with advanced evaluation methodologies for modern AI models, including LLMs and ML-driven product features. As a member of the team, you will work closely with experienced engineers and machine learning experts to qualify and refine features powered by vision, language, and cross-modal models. You will be responsible for designing rigorous evaluation strategies for both objective and subjective ML behaviors, creating reliable automated testing pipelines, and developing LLM-driven evaluators that complement human judgement.

The ideal candidate is self-directed, creative, and comfortable with ambiguity, with strong technical and interpersonal skills. They have hands-on experience testing ML models directly, defining qualitative scoring rubrics, building reproducible evaluation frameworks, and ensuring that AI behavior is safe, consistent, and aligned with product vision.



Job Duties /Responsibilities

  • Create detailed, comprehensive, and well-structured test plans and test cases for traditional and ML-based solutions. Estimate, prioritize, plan, and coordinate testing activities.
  • Design, develop, and execute automation scripts. Identify, record, document, and track bugs. Perform thorough regression testing when bugs are resolved.
  • Develop and maintain robust testing frameworks for machine learning models
  • Develop and apply testing processes for new and existing products to meet client needs.
  • Monitor debugging process results. Investigate the causes of non-conforming software. Track quality assurance metrics, such as defect densities and open defect counts.
  • Collaborate with internal teams (e.g. developers, product managers, and designers) to identify testing requirements.
  • Identify and prioritize quality control issues from an end-to-end perspective.
  • Participate in scrum ceremonies such as refinement, demo, and release planning.


Minimum Requirements

Minimum education required of the position:
Bachelor’s degree in computer science, MIS, business administration, or other technical area of study OR equivalent work experience; advanced degree is a plus.

Minimum Experience Required Of The Position

Specialist I: 0-3 years of professional experience.

Specialist II:
At least 2 years of professional experience, at least 1 year of experience testing ML/GenAI solutions.

Specialist III:
At Least 4 years of professional experience, at least 2 years of experience testing ML/GenAI solutions.

Specialist, Sr:
At least 6 years of professional experience, at least 3 years of experience testing ML/GenAI solutions.

Sr Lead:
At least 8 years of professional experience, at least 4 years of experience testing ML/GenAI solutions.

Required

Minimum knowledge, skills and abilities required of the position:

  • Strong knowledge of software QA methodologies, tools, and processes.
  • Familiarity working with Agile development teams.
  • Good communications skills; ability to effectively communicate verbally and in writing with both non-technical and technical staff.
  • Proficient in both white box and black box testing methods.
  • Ability to work both independently and as part of a team.
Desired Knowledge, Skills, And Abilities

  • Working knowledge of automated testing tools.
  • Highly proficient SQL and scripting skills.
  • Experience testing AI/ML systems in cloud-based environments.
  • Experience integrating automated AI testing into CI/CD pipelines (e.g., Git Hub Actions or similar tools).
  • Experience with monitoring and logging systems for post-deployment model validation.
  • Advanced experience testing generative AI systems, including LLMs for accuracy, bias, safety, and hallucinations.
  • Familiarity with RAG evaluation workflows and vector databases (e.g., FAISS, Pinecone, Weaviate).
  • Experience with prompt engineering, adversarial prompting, and synthetic data generation.
Any Certificates, Licenses, Etc. Required Of The Position

  • Any Service Now, Scrum, or ITIL certifications are a…
Position Requirements
10+ Years work experience
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