AI Tools & Testing Architect

Benefits

• On Site
• Competitive salary
• Opportunity for advancement

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.

• 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, Dev Ops, 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

• 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 Dev Ops 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

• 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

• 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