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Responsibilities
Responsibilities:
- Architect and lead AI-powered automation initiatives across code generation, refactoring, and test automation.
- Design and implement Agentic AI systems using modern LLM frameworks and orchestration tools.
- Provide technical leadership and direction for AI/ML and agent-based automation initiatives.
- Partner with engineering and QA teams to embed AI/ML solutions into development, testing, and CI/CD workflows.
- Drive AI adoption across quality engineering, including test generation, test optimization, and intelligent validation.
- Build, train, fine-tune, and evaluate ML and LLM models using structured and unstructured data.
- Apply advanced data engineering and MLOps practices to ensure scalable, reliable, and production-ready AI solutions.
- Define architectural standards, best practices, and governance for AI-driven automation platforms.
- Stay current with advancements in AI/ML, LLMs, Agentic AI, and QA automation and translate them into practical implementations.
- Mentor engineers and influence cross-functional teams on AI, testing, and automation strategies.
Required Qualifications:
- 12+ years of experience in AI/ML engineering or architecture roles with a strong data-centric background.
- Proven experience in technical leadership, architecture ownership, and cross-team collaboration.
- Deep expertise in machine learning, deep learning, and LLM-based systems.
- Hands-on experience applying AI to software engineering and QA automation use cases.
- Strong understanding of Agentic AI concepts, autonomous systems, and AI orchestration frameworks.
- Solid background in quality engineering, testing strategies, or test automation at scale.
- Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.
- Experience working with large datasets, data pipelines, and feature engineering.
- Strong knowledge of MLOps, model deployment, monitoring, and lifecycle management in production.
- Background in software engineering, DevOps, or CI/CD automation environments.
- Experience defining and implementing AI governance, security, and compliance best practices.
This job post is closed.