- Lead end-to-end design and delivery of AI modules from architecture to production deployment.
- Define LLM integration patterns, RAG strategies, and data pipeline architectures.
- Own technical quality and performance of AI and agentic automation systems.
- Act as the primary technical interface with cross-functional stakeholders.
- Participate in requirements workshops and solution demos.
- Drive design reviews and establish engineering standards.
- Mentor engineers on the team.
- Identify and address technical debt, reliability risks, and scalability bottlenecks.
- Deliver agentic automation solutions across enterprise use cases.
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