Responsibilities
Roles &Responsibilities;: RCA Agent Development Design develop and enhance the RCA agent using GenAIagentic AI patterns Build prompts reasoning workflows toolfunction integrations and supporting APIs Optimize agent accuracy reliability latency safety and cost
AD RCA Integration Integrate the upstream AD workflow with the RCA agent through enterprise APIsservice layers
Implement data and workflow integration between the agent and dependent enterprise systems
Validate endtoend integration and errorhandling scenarios
Evaluation Framework Build an automated evaluation frameworktest harness for the RCA solution
Define acceptance criteria and metrics covering accuracy factuality grounding safety latency and cost
Perform regression adversarial hallucination guardrail and failurepath testing
Use evaluation findings as release gates and inputs for system improvement
E2E Tuning Optimization Analyze failures across the complete RCA pipeline and tune prompts context orchestration and inference behavior
Improve accuracy and production reliability based on evaluation results




Identify error propagation across multistep agent workflows through tracing and observability
AWS SageMaker Bedrock Develop and operationalize agent workloads using Amazon Bedrock where applicable
Support model deployment optimization monitoring and lifecycle activities using SageMaker
Optimize prompts embeddings and inference performance
Establish monitoring for production performance and anomalies
Short version for JD RR Key Responsibilities Develop and enhance the RCA agent integrate ADtoRCA workflows build the GenAI evaluation framework perform endtoend testing and tuning optimize promptsmodel inference and support deployment monitoring and operationalization using AWS SageMaker and Amazon Bedrock

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📌 Senior Specialist Ai Engineering Bengaluru
🏢 LTM
📍 Bengaluru