AI Tools & Testing Architect

We are seeking a highly experienced AI Tools and Architecture Expert who has deep hands‑on expertise in using, implementing, and scaling AI solutions across software engineering, with a strong focus on testing and quality engineering use cases. This individual will act as a technical architect and strategic advisor, guiding teams on how to effectively adopt AI for productivity, quality, and innovation. 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 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 the 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 #J-18808-Ljbffr Code17Tek