AI Tools Testing Architect

Select Minds LLC; Dallas (TX); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Opportunity for advancement

On-site work

Job summary

A specialized technology firm in Dallas, TX, is looking for a Senior AI Tools & Testing Architect to shape AI-driven solutions in testing and quality engineering. The ideal candidate will have significant hands-on experience with AI/ML technologies and a robust understanding of software testing methodologies. Responsibilities include architecting AI solutions, providing technical guidance, and mentoring teams. This role emphasizes collaboration with Engineering and QA teams to enhance productivity and quality. Competitive salary and opportunities for advancement offered.

Qualifications

• Strong hands-on experience with AI/ML and Generative AI, including LLMs and prompt engineering.
• Proven experience architecting scalable, production-grade AI solutions.
• Deep understanding of software testing and QA practices.

Responsibilities

• Architect, design, and implement AI-driven solutions across testing and QA.
• Provide technical leadership on AI tools integration and optimization.
• Define AI adoption frameworks for testing use cases.

Skills

AI/ML and Generative AI

Software testing

Test automation frameworks

Cloud-based AI platforms

Communication skills

Tools

AWS

Azure

GCP

Job description

Benefits

• OnSite
• Competitive salary
• Opportunity for advancement

AI Tools & Testing Architect – Dallas, TX Onsite – Long-Term Duraiton

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