AI/ML Engineer OSS Automation

Position Summary

We are looking for an AI/ML Engineer with 6 years of
experience in telecom OSS/network operations environments,
who has built or is building applied AI/LLM -based
automation on top of that domain expertise. This role is
grounded in deep telecom OSS knowledge first, with agentic AI as
the applied layer on top, not the other way around.

The role focuses on automating and augmenting OSS workflows such
as network assurance, service fulfillment, and configuration
management, using LLM -based agents for tasks like alarm triage,
RCA, and guided remediation, always within policy -aware guardrails.

What You'll Work On

• Design and implement LLM -based agents for OSS
  tasks: alarm triage, incident summarization, RCA,
  remediation suggestions
  
• Build closed -loop automation solutions integrating sensing, decision -making, and execution
  across OSS components
  
• Integrate agents with OSS/NMS systems: fault management,
  performance management, configuration management, inventory
  
• Consume and reason over network telemetry (KPIs, logs,
  traces), alarms, topology, and service models
  
• Build RAG pipelines using operational data, runbooks,
  policies, and standards (e.g., 3GPP, TM Forum)
  
• Design agent tooling and action interfaces to safely
  execute network changes (config updates, parameter tuning,
  workflow triggers)
  
• Apply ML techniques (anomaly detection, forecasting,
  classification) alongside LLM reasoning for proactive assurance
  
• Implement guardrails, approvals, and rollback strategies
  for safe automation
  
• Build evaluation and monitoring frameworks to measure
  agent accuracy and operational impact
  
• Deploy AI automation services in cloud -native,
  event -driven architectures
  

• 6 years of experience in telecom OSS domains, with solid
  hands -on knowledge of:
  • Fault, Performance, Configuration, and Service Management (FCAPS)
    
  • Network assurance and service assurance
    
  • Closed -loop or intent -driven automation concepts
    
• Strong Python skills and experience building production -grade
  automation systems
  
• Practical, demonstrable experience with LLM -based systems (this can be more recent than the OSS experience, given how
  young these frameworks are):
  • At least one agent framework (LangChain, LangGraph,
    AutoGen, CrewAI, or similar)
    
  • Tool/function calling and structured outputs
    
  • RAG architectures using vector databases
    
• Experience working with network telemetry, alarms, and events
  
• Familiarity with REST APIs, TM Forum Open APIs, or
  vendor -specific OSS interfaces
  
• Knowledge of event -driven and streaming architectures (e.g.,
  Kafka, Pub/Sub)
  
• Experience deploying solutions in cloud or hybrid environments
  
• Strong engineering discipline (testing, CI/CD, observability)
  

Nice to Have

• Experience with 5G/LTE OSS, including RAN, transport, or core
  network domains
  
• Knowledge of AIOps platforms and operational analytics
  
• Experience with time -series analysis and large -scale KPI processing
  
• Familiarity with runbook automation, ITSM integration, or
  ticketing systems
  
• Experience with policy engines or intent -based networking concepts
  
• Exposure to O -RAN architectures, non -RT RIC, rApps, or xApps
  
• Understanding of autonomy levels (L1–L4/L5) and operational governance