AI Tools & Testing Architect

Select Minds LLC

Dallas, TX

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JOB DETAILS

SKILLS

Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Business Skills, Cloud Computing, Communication Skills, Design Patterns Programming Methodologies, DevOps, Enterprise Protection, Leadership, Machine Tool, Maintain Compliance, Mentoring, Privacy Controls, Product Demonstration, Productivity Management, Quality Assurance, Quality Engineering, Quality Management, Security Compliance, Software Development Lifecycle (SDLC), Software Engineering, Technical Leadership, Technical Strategy, Test Automation, Test Case, Test Design, Test Tools, Testing, Use Cases

LOCATION

Dallas, TX

POSTED

30+ days ago

Benefits:

Onsite
Competitive salary
Opportunity for advancement

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

We are seeking a highly experienced AI Tools & Testing Architect with deep, hands-on expertise in designing, implementing, and scaling AI-driven solutions across software engineering—particularly in testing, quality engineering, and SDLC optimization.
This role combines technical architecture, strategic advisory, and hands-on enablement, helping engineering and QA teams effectively adopt AI to improve productivity, quality, and time-to-market.

You will act as a technical architect and AI evangelist, guiding organizations in selecting the right AI tools, defining adoption frameworks, and embedding AI responsibly into engineering workflows.

Key Responsibilities
AI Architecture & Implementation
• Architect, design, and implement AI-driven solutions across:
Software testing and QA
Quality engineering
Broader software engineering workflows
• Design scalable, secure, and reusable AI reference architectures.

AI for Testing & Quality Engineering
• Define and lead AI adoption frameworks for testing use cases, including:
Automated test case generation and optimization
Test data generation, synthesis, and masking
Defect prediction, anomaly detection, and root-cause analysis
Intelligent test execution, prioritization, and coverage optimization

Tooling & Platform Strategy
• Evaluate, select, and recommend AI tools, platforms, and vendors, including:
LLMs, agents, copilots
AI-powered test automation tools
Internal and external AI platforms
• Optimize AI tool integration for performance, cost, and reliability.

Engineering Enablement & Collaboration
• Collaborate with Engineering, QA, DevOps, Security, and Leadership teams to embed AI across the SDLC.
• Enable teams with:
Best practices
Design patterns
Reference implementations
• Conduct workshops, demos, and enablement sessions.

Governance & Responsible AI
• Establish AI governance, security, and responsible AI guidelines
• Ensure compliance with enterprise security, data privacy, and ethical AI standards.

Mentorship & Technical Leadership
• Act as a technical mentor and advisor
• Guide teams and stakeholders (technical and non-technical) on AI adoption strategies.

Required Skills & Experience
• Strong hands-on experience with AI/ML and Generative AI, including:
Large Language Models (LLMs)
Prompt engineering
AI agents
Embeddings and vector search
Retrieval-Augmented Generation (RAG)
• Proven experience designing scalable AI architectures
• Deep understanding of:
Software testing methodologies
QA processes
Test automation frameworks
• Experience integrating AI into:
CI/CD pipelines
DevOps and MLOps workflows

• Familiarity with cloud-based AI platforms and APIs:
AWS
Azure
GCP
• Strong ability to translate business problems into AI-driven technical solutions
• Excellent communication and stakeholder management skills

Nice to Have
• Experience with AI governance, security, and compliance
• Prior role as:
AI Architect
Solution Architect
Principal Engineer
• Experience implementing AI in enterprise-scale environments
• Certifications in:
Cloud platforms
AI/ML
Architecture frameworks

Success Criteria
• Demonstrated impact in:
Improving testing efficiency
Enhancing software quality
Reducing time-to-market using AI
• Delivery of clear, reusable AI reference architectures and best practices
• High adoption, engagement, and satisfaction across engineering and QA teams

About the Company

Select Minds LLC

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