AI Tools

6 days ago

Dallas, Texas, United States Self Skill Learn Full time

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

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