**About the Role:**

**Grade Level (for internal use):**

10
**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 to ensure ...