AI Architect for Testing and Generative AI

Acumenz Consulting • United State
Remote
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AI Summary

Lead enterprise-wide transformation initiatives applying AI and Generative AI in Quality Engineering and Software Testing. Drive strategy, architecture, and implementation of AI-enabled testing solutions. Partner with QA teams, developers, and stakeholders to integrate AI-driven capabilities.

Key Highlights
AI Strategy & Testing Transformation
AI-Driven Testing Solutions
Leadership & Enablement
Key Responsibilities
AI Strategy & Testing Transformation
AI-Driven Testing Solutions
Framework & Architecture Design
QA Engineering & DevOps Integration
Leadership & Enablement
Technical Skills Required
AI Machine Learning Large Language Models Natural Language Processing Prompt Engineering Enterprise AI implementations AI-assisted workflows and automation Java SQL
Benefits & Perks
100% Remote within the United States
Hybrid schedule option for Chicago-based candidates

Job Description


AI Architect for Testing /Generative AI Architect

Remote anywhere in USA

Contract

The candidate from Chicago may need to work hybrd 2-3 days a week rest remote of USA.


Position Overview

Seeking an experienced AI Architect for Testing to lead enterprise-wide transformation initiatives focused on applying Artificial Intelligence and Generative AI within Quality Engineering and Software Testing organizations.

This role will drive the strategy, architecture, and implementation of AI-enabled testing solutions designed to improve software quality, accelerate testing efficiency, enhance automation capabilities, and modernize QA operations across the SDLC/STLC lifecycle.

The ideal candidate will possess a strong background in QA automation, enterprise testing architecture, AI/ML technologies, and modern software engineering practices. This individual will partner closely with QA teams, developers, DevOps engineers, and product stakeholders to integrate AI-driven capabilities into enterprise testing ecosystems.


  • 100% Remote within the United States
  • Candidates located near Chicago may be expected to follow a hybrid schedule:
  • Approximately 2–3 days onsite per week
  • Or as needed based on business requirements


Key Responsibilities

  • AI Strategy & Testing Transformation
  • AI-Driven Testing Solutions
  • Framework & Architecture Design
  • QA Engineering & DevOps Integration
  • Leadership & Enablement


Required Technical Skills

AI / Machine Learning

Hands-on experience with:

  • Large Language Models (LLMs)
  • Natural Language Processing (NLP)
  • Machine Learning
  • Prompt Engineering
  • Enterprise AI implementations
  • AI-assisted workflows and automation

Programming Languages

Highest Priority

  • Java
  • SQL

Additional Preferred Languages

  • Python
  • JavaScript

Testing Tools & Frameworks

Top Required Tools

  • Selenium
  • Playwright


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