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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Selectblinds • Dallas, Texas, United States
Salary: USD 150,000 per year
Role & seniority: AI Tools & Testing Architect; Senior AI/Architecture expert with hands-on design and scaling of AI solutions for testing and quality engineering
Stack/tools: AI/ML and Generative AI (LLMs, agents, copilots, prompt engineering, embeddings, RAG); AI-powered test automation; CI/CD integration; cloud platforms (AWS, Azure, GCP); software testing QA frameworks; governance/security for AI
Architect, design, and implement AI-driven testing, QA, and engineering workflows
Lead selection, integration, and optimization of AI tools and platforms; define adoption frameworks for use cases (test generation, data masking, defect prediction, intelligent execution)
Enable teams with reference architectures, best practices, governance, security, and hands-on enablement; collaborate across SDLC with engineering, QA, DevOps, security, and leadership
Strong hands-on AI/ML, Generative AI, LLMs, prompt engineering, agents, embeddings, RAG
Experience architecting scalable, production-grade AI solutions
Deep knowledge of software testing, QA, test automation; AI in CI/CD and DevOps
Cloud AI platforms/services (AWS/Azure/GCP); translates business/quality challenges into AI solutions
Effective communication with technical and non-technical stakeholders
AI governance, security, compliance experience
Prior Solution/AI Architect or Principal Engineer roles
AI implementatio
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
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