AI Tools & Testing Architect

Select Minds LLC • Dallas, TX

1d • Onsite

About The Position

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.

Requirements

• 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 Haves

• 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

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

Benefits

• OnSite
• Competitive salary
• Opportunity for advancement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed