AI Tools & Testing Architect at Select Minds LLC

Dallas, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Tools, Testing, Quality Engineering, AI Solutions, Test Automation, CI/CD Pipelines, Cloud Platforms, Communication Skills, Mentoring, Governance, Security, Compliance, Defect Prediction, Test Data Generation, Root-Cause Analysis, Test Case Optimization, AI Adoption

Industry

IT Services and IT Consulting

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

Responsibilities

The role involves architecting, designing, and implementing AI-driven solutions across testing and engineering workflows. It also includes providing technical leadership and mentoring teams on AI adoption best practices.