{"id":3792309,"url":"https://alion.io/job/telence-solutions-ai-system-architect-next-generation-network-management-platform","title":"AI System Architect - Next-Generation Network Management Platform","company":{"id":4465903,"name":"Telence Solutions","domain":"telencesolutions.com","url":"https://alion.io/company/telence-solutions","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Hugging Face","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true},{"name":"MPLS","optional":true},{"name":"Prometheus","optional":true},{"name":"ServiceNow","optional":true}],"status":"live","first_seen_at":"2026-11-05T07:12:28Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-15T19:15:01Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Location: Remote - open only to candidates based in Bengaluru or Hyderabad, India\nEmployment Type: Contract (Freelance)\nExperience: 10+ years\nAbout Telence Solutions\nTelence Solutions is building a next-generation AI-driven Network Management System designed to support multi-vendor environments and enable intelligent operations, automation, and closed-loop remediation. Our platform aims to combine traditional network management with modern AI capabilities to deliver autonomous and highly scalable network operations.\nWe are looking for an experienced AI System Architect to help define the architecture, technology roadmap, and AI strategy for this platform.\nRole Overview\nThe AI System Architect will provide technical leadership for the design and evolution of our in-house network management platform. This individual will work closely with software developers, network architects, and product leadership to establish a scalable and future-proof architecture while incorporating industry best practices across AI, machine learning, data engineering, and agentic workflows.\nThis is a strategic role requiring both architectural depth and hands-on understanding of modern AI technologies.\nKey Responsibilities\nAI Platform Architecture\nDefine the overall AI architecture for a next-generation network management platform.\nDesign scalable frameworks supporting:\nFault detection and correlation\nRoot cause analysis\nPredictive analytics\nClosed-loop automation\nAI-assisted troubleshooting\nIntelligent workflows and agentic AI\n\nAI Models & Technologies\nEvaluate and recommend appropriate AI approaches including:\nLarge Language Models (LLMs)\nSmall Language Models (SLMs)\nClassical Machine Learning models\nTime-series forecasting models\nReinforcement Learning\nRetrieval-Augmented Generation (RAG)\nKnowledge Graphs\nMulti-agent systems\n\nAssess trade-offs between open-source and commercial AI models.\nDefine best practices for model training, inference, and lifecycle management.\nSystem Design & Scalability\nArchitect microservices-based and cloud-native solutions.\nDefine data pipelines and AI workflows.\nDesign scalable APIs and integration frameworks.\nEnsure high availability, resiliency, observability, and security.\nEstablish AI governance and MLOps practices.\nData Architecture\nDefine approaches for handling:\nStreaming telemetry\nSyslogs\nSNMP data\nConfiguration data\nEvent and alarm information\nHistorical performance metrics\n\nRecommend storage technologies and vector databases.\nDevelop data quality and labeling strategies.\nTechnical Leadership\nGuide engineering teams on architectural decisions.\nConduct design reviews and technology evaluations.\nCreate architecture standards and reference frameworks.\nMentor developers and AI engineers.\nStay current with advancements in AI and autonomous networking.\nRequired Qualifications\n10+ years of software architecture and platform design experience.\n5+ years working with AI/ML systems and production deployments.\nExperience with multiple AI frameworks and models.\nStrong understanding of:\nLLMs and Generative AI\nAgentic AI architectures\nRAG systems\nEmbedding models\nVector databases\nMLOps practices\nPrompt engineering and evaluation frameworks\n\nExperience with Python and AI frameworks such as:\nPyTorch\nTensorFlow\nLangChain\nLlamaIndex\nHugging Face\nMLflow\n\nFamiliarity with cloud environments including AWS and Azure.\nExperience designing distributed and microservices architectures.\nStrong knowledge of APIs, databases, and event-driven systems.\nExcellent communication and technical leadership skills.\nPreferred Experience\nExperience with telecom or network management platforms such as:\nNokia NSP\nCiena Navigator\nCisco Crosswork\nJuniper Paragon\nBlue Planet\nServiceNow\nGrafana\nPrometheus\nKnowledge of:\nIP/MPLS networks\nOptical transport networks\nSD-WAN\nStreaming telemetry\nOpenConfig/YANG\nNETCONF/gNMI\nKubernetes and containerized environments\nWhat Success Looks Like\nWithin the first 12 months, you will:\nDefine the AI reference architecture for the platform.\nEstablish AI model selection and governance processes.\nGuide the development team on scalable AI design patterns.\nBuild the foundation for autonomous network operations and closed-loop remediation.\nHelp create a world-class, multi-vendor AI-enabled network management system.\nWhy Join Telence Solutions?\nOpportunity to shape a greenfield AI platform from the ground up.\nWork on cutting-edge technologies including Agentic AI and autonomous networking.\nInfluence architecture and technology decisions.\nCollaborate with experienced telecom and network professionals.\nBuild a platform that can redefine network operations for service providers and enterprises.\nIf you 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