Key Responsibilities

• Design and build agentic AI platform components   including agents, tools, workflows, and integrations with internal systems.
  
• Implement observability across the AI lifecycle:   tracing, logging, metrics, and evaluation pipelines to monitor agent quality, cost, and reliability.
  
• Translate business problems into agentic AI solutions   by collaborating with product, SMEs, and platform teams on data, model, and orchestration requirements.
  
• Develop and maintain data pipelines, features, and datasets   for training, evaluation, grounding, and safety of LLM-based agents.
  
• Lead experimentation and benchmarking:   Testing of prompts, models, and agent workflows; analyze results and drive iterative improvements.
  
• Implement guardrails, safety checks, and policy controls   across prompts, tool usage, access, and output filtering...