Select Minds LLC
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr