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The Senior AI Engineer will architect LLM agents, drive ML lifecycle processes, build GenAI solutions, and lead a data engineering team. Responsibilities include overseeing data architecture, scalable deployments, and mentoring.

Develop and maintain LLM pipelines, design RAG architectures, implement agentic systems, and integrate AI features into data pipelines.

The Product Owner will manage the backlog and strategy for enterprise systems, ensuring alignment between teams and driving clarity in evolving requirements. Responsibilities include prioritizing features, leading agile processes, integrating AI solutions, and collaborating with cross-functional teams to deliver business value.

Lead and develop robust data solutions, manage projects, mentor team members, and collaborate with AI/ML teams to enhance business decisions.

Lead the full lifecycle of AI-driven agentic systems, collaborate across teams to embed AI capabilities in smart devices, and optimize performance and reliability.