AI tools & Testing architect

Key Responsibilities

• Architect, design, and implement AI-driven solutions across testing, QA, and broader engineering workflows
• Provide technical leadership and guidance on selecting, integrating, and optimizing AI tools (LLMs, agents, copilots, test automation AI, etc.)
• 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, coverage, and prioritization
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• Enable teams with best practices, patterns, and reference architectures for AI usage
• Evaluate and recommend AI platforms, tools, and vendors based on business and technical fit
• Collaborate with engineering, QA, DevOps, security, and leadership teams to embed AI into SDLC
• Establish governance, security, and responsible AI guidelines
• Mentor teams and conduct workshops, demos, and enablement sessions

Required Skills & Experience

• Strong hands-on experience with AI/ML and Generative AI tools (e.g., LLMs, prompt engineering, agents, embeddings, RAG)
• Proven architecture and design experience for scalable AI solutions
• Deep understanding of software testing, QA, and test automation frameworks
• Experience integrating AI with CI/CD pipelines and DevOps practices
• Familiarity with cloud-based AI platforms (AWS, Azure, GCP) and APIs
• Ability to translate business problems into AI-driven technical solutions
• Strong communication skills to guide 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 in enterprise-scale environments
• Certifications in cloud, AI, or architecture disciplines

Success Criteria

• Demonstrated impact in improving testing efficiency, quality, and time-to-market using AI
• Clear, reusable AI reference architectures and best practices
• High adoption and satisfaction across engineering and QA teams