AI / ML Architect

We are seeking a highly experienced AI/ML Architect with a strong data engineering and applied AI background to lead and own automation initiatives across code generation and quality engineering. This role requires both deep technical expertise and leadership capability, working closely with engineering, QA, and platform teams to design, build, and scale AI-driven and agentic automation solutions that improve developer productivity, software quality, and testing efficiency. Key Responsibilities Architect and lead AI-powered automation initiatives across code generation, refactoring, and test automationDesign and implement agentic AI systems using modern LLM frameworks and orchestration toolsProvide technical leadership and direction for AI/ML and agent-based automation initiativesPartner with engineering and QA teams to embed AI/ML solutions into development, testing, and CI/CD workflowsDrive AI adoption across quality engineering, including test generation, test optimization, and intelligent validationBuild, train, fine-tune, and evaluate ML and LLM models using structured and unstructured dataApply advanced data engineering and MLOps practices to ensure scalable, reliable, and production-ready AI solutionsDefine architectural standards, best practices, and governance for AI-driven automation platformsStay current with advancements in AI/ML, LLMs, agentic AI, and QA automation and translate them into practical implementationsMentor engineers and influence cross-functional teams on AI, testing, and automation strategiesRequired Qualifications 12+ years of experience in AI/ML engineering or architecture roles with a strong data-centric backgroundProven experience in technical leadership, architecture ownership, and cross-team collaborationDeep expertise in machine learning, deep learning, and LLM-based systems

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