AI Tools & Testing Architect

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