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AI Tools & Testing Architect

Plugins Inc

Dallas, TX

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JOB DETAILS
JOB TYPE
Full-time, Employee
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Best Practices, Business Skills, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Design Patterns Programming Methodologies, DevOps, Establish Priorities, GCP (Good Clinical Practices), Leadership, Mentoring, Microsoft Windows Azure, Product Demonstration, Product Testing, Productivity Management, Quality Assurance, Quality Assurance Methodology, Quality Engineering, Quality Management, Root Cause Analysis, Software Development Lifecycle (SDLC), Software Engineering, Software Testing, Technical Leadership, Test Automation, Test Case, Test Data, Test Design, Testing, Use Cases
LOCATION
Dallas, TX
POSTED
13 days ago
AI Tools & Testing Architect
Dallas, TX (Onsite)
Long-Term Duration

Role Overview

We are seeking a senior AI Tools and Architecture expert with strong hands-on experience designing and scaling AI solutions across software engineering, with a primary focus on testing and quality engineering. This role combines deep technical ownership with advisory leadership, guiding teams on practical and high-impact AI adoption to improve productivity, quality, and delivery speed.

Key Responsibilities
  • Architect, design, and implement AI-driven solutions across testing, QA, and engineering workflows
  • Provide technical leadership on selecting, integrating, and optimizing AI tools including LLMs, agents, copilots, and AI-powered test automation
  • Define AI adoption frameworks for testing use cases such as:
  • - Test case generation and optimization
  • - Test data generation and masking
  • - Defect prediction and root-cause analysis
  • - Intelligent test execution, prioritization, and coverage
  • Enable teams with best practices, design patterns, and reusable reference architectures for AI usage
  • Evaluate and recommend AI platforms, tools, and vendors based on technical and business fit
  • Collaborate with Engineering, QA, DevOps, Security, and leadership teams to embed AI into the SDLC
  • Establish governance, security, and responsible AI guidelines
  • Mentor teams through workshops, demos, and hands-on enablement sessions

Required Skills and Experience
  • Strong hands-on experience with AI/ML and Generative AI, including LLMs, prompt engineering, agents, embeddings, and RAG
  • Proven experience architecting scalable, production-grade AI solutions
  • Deep understanding of software testing, QA practices, and test automation frameworks
  • Experience integrating AI into CI/CD pipelines and DevOps workflows
  • Familiarity with cloud-based AI platforms and services on AWS, Azure, or GCP
  • Ability to translate business and quality challenges into practical AI-driven solutions
  • Strong communication skills to work effectively with both technical and non-technical stakeholders

Nice to Have
  • Experience with AI governance, security, and compliance
  • Prior experience as a Solution Architect, AI Architect, or Principal Engineer
  • Experience implementing AI solutions in enterprise-scale environments
  • Certifications in cloud, AI, or architecture disciplines

Success Criteria
  • Demonstrated impact in improving testing efficiency, product quality, and time-to-market using AI
  • Clear, reusable AI reference architectures and best practices
  • High adoption and satisfaction across engineering and QA teams

About the Company

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Plugins Inc