Deputy Director AI

As a Deputy Director of AI at the company, your primary role will be focused on designing, building, and operating observability capabilities within a specific domain of the enterprise AI observability platform. You will be responsible for translating architecture blueprints into production-grade instrumentation, telemetry pipelines, dashboards, quality gates, and safety signals across agentic AI systems. Your role will involve the following key responsibilities: - Implement OpenTelemetry (OTEL) instrumentation within assigned agent frameworks or platforms, including custom exporters, span enrichers, semantic conventions, and context propagation hooks. - Build and maintain telemetry pipeline components (collectors, processors, exporters) to route metrics, logs, traces, and semantic signals to central observability backends. - Integrate OTEL with enterprise agentic platforms as assigned, following architecture blueprints set by the Senior AI Observability Architect. - Develop and maintain observability dashboards, alerting rules, and SLO/SLA definitions for the assigned sub-domain to ensure signal quality and low false-positive rates. - Participate in on-call rotations and incident response for the observability platform, contributing to RCA documentation and runbook improvement. - Write unit, integration, and end-to-end tests for all telemetry components and maintain >80% test coverage across owned services. In addition to the above responsibilities, the company emphasizes the following qualifications for the role: - Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, Data Science, or a related technical field. - 11+ years of experience in software engineering, platform engineering, or data engineering, with at least 2 years of hands-on work in observability, monitoring, or distributed systems. - Demonstrated ability to deliver production-grade software in a team environment and a track record of completing complex technical features end-to-end. - Strong Python engineering skills, familiarity with async patterns, type hints, and modern Python tooling. - Solid working knowledge of the three pillars of observability (metrics, logs, traces), ability to instrument services with OpenTelemetry (OTEL) SDKs, and understanding of trace context propagation and semantic conventions. - Working knowledge of microservices, event streaming, REST/gRPC APIs, and containerized deployment. - Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP) and experience with CI/CD pipelines. - Ability to query, analyze, and visualize time-series and log data using relevant tools. - Exposure to agentic AI frameworks, contributions to open-source observability projects, and familiarity with reinforcement learning concepts. - Experience with security tooling relevant to AI, Responsible AI frameworks, fairness evaluation libraries, and explainability tools. - Experience in a fast-paced AI platform, MLOps, or LLMOps role with production deployment responsibilities. If you believe you meet the qualifications and are interested in this Deputy Director AI role in Hyderabad, you can share your updated resume at the provided contact information. As a Deputy Director of AI at the company, your primary role will be focused on designing, building, and operating observability capabilities within a specific domain of the enterprise AI observability platform. You will be responsible for translating architecture blueprints into production-grade instrumentation, telemetry pipelines, dashboards, quality gates, and safety signals across agentic AI systems. Your role will involve the following key responsibilities: - Implement OpenTelemetry (OTEL) instrumentation within assigned agent frameworks or platforms, including custom exporters, span enrichers, semantic conventions, and context propagation hooks. - Build and maintain telemetry pipeline components (collectors, processors, exporters) to route metrics, logs, traces, and semantic signals to central observability backends. - Integrate OTEL with enterprise agentic platforms as assigned, following architecture blueprints set by the Senior AI Observability Architect. - Develop and maintain observability dashboards, alerting rules, and SLO/SLA definitions for the assigned sub-domain to ensure signal quality and low false-positive rates. - Participate in on-call rotations and incident response for the observability platform, contributing to RCA documentation and runbook improvement. - Write unit, integration, and end-to-end tests for all telemetry components and maintain >80% test coverage across owned services. In addition to the above responsibilities, the company emphasizes the following qualifications for the role: - Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, Data Science, or a related technical field. - 11+ years of experience in software engineering, platform engineering, or data engineering, with at least