How You Will Contribute:

• Define and drive AI/ML and agent-based network automation solutions within Blue Planet, a division of Ciena, network-assurance platforms tailored for Tier-1 service providers.

• Develop roadmaps for AI/ML and agentic features that enhance automation, observability, root cause analysis (RCA), anomaly detection, and operational efficiency in complex network environments.

• Identify high-value service-provider use cases across domains such as IP/MPLS, optical, 5G RAN/CORE, transport, broadband access, and virtual service delivery where agents autonomously analyze telemetry, correlate events, and execute operational actions.

• Define clear product requirements, acceptance criteria, and UX workflows for AI-driven features, including RCA engines, anomaly detection models, intent agents, remediation agents, and predictive analytics.

• Collaborate with data science, backend engineering, UX, platform teams, and field engineering to deliver carrier-grade software aligned with reliability, scalability, and security standards.

• Coordinate model lifecycle processes, including training pipelines, model evaluation, drift detection, guardrails, explainability, and versioning.

• Partner with Tier-1 operators to identify automation gaps, measure the impact of AI-driven capabilities on MTTR, SLA compliance, and operational workload, and translate feedback into prioritized product iterations.

The Must Haves:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Machine Learning, or a related field, or equivalent practical experience.

• 12+ years of experience building and delivering production-quality software products.

• Expertise in agent-execution runtimes for delivering AI-driven operational assistants, RAG pipelines, and closed-loop automation.

• Strong understanding of network operations and management within Tier-1 telecom networks.

• Hands-on familiarity with ML methods such as supervised learning, anomaly detection, probabilistic models, and graph-based analytics, along with relevant tooling like model-ops frameworks and data-orchestration systems.

Nice to Haves:

• Experience working within a Tier-1 service provider or large-scale network/data center environment, or developing products for these environments.

• Proven expertise in building AI Agents to query big data solutions for actionable insights or to drive automated operational outcomes.

• Familiarity with network-operations tooling such as NMS/OSS systems, orchestration, intent systems, policy engines, and root-cause analysis platforms.

• Knowledge of carrier networking technology domains, including IP/MPLS, optical transport, data-center fabrics, 5G/ORAN, or cloud-native network functions.

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