{"id":824123,"url":"https://alion.io/job/ncs-eg-ai-solution-architect-autonomous-network","title":"#EG AI Solution Architect (Autonomous Network)","company":{"id":8907,"name":"NCS","domain":"ncs.co","url":"https://alion.io/company/ncs-co","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":82,"open_postings":376,"ghost_share":0.298,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":111000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":24},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Chroma","optional":false},{"name":"Claude","optional":false},{"name":"DeepSeek","optional":false},{"name":"Hallucination","optional":false},{"name":"Hybrid Search","optional":false},{"name":"ITSM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Milvus","optional":false},{"name":"Mistral","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Caching","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Qwen","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"ServiceNow","optional":false},{"name":"vLLM","optional":false},{"name":"Weaviate","optional":false},{"name":"AWS","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Machine Learning","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-04-27T02:20:34Z","employer_posted_date":"2026-04-27","last_verified_at":"2026-10-17T17:56:59Z","board_verified":true,"closed_at":null,"days_open":173,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":173},"description":"NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.\n As an AI Solution Architect, you will be the technical authority responsible for designing, architecting, and guiding the delivery of Agentic AI systems within the Autonomous Networks Programme. You will work closely with the Project Director, Network SMEs, OSS engineers, NOC operations teams, and the Central AI Infrastructure Solution Architect to translate network operations challenges into production-grade AI agent solutions that are safe, explainable, trusted, and operationally effective. This is a hands-on role requiring both strong architecture leadership and practical engineering capability, including prototyping, coding, system integration, and technical review.\nWhat will you do?\nAgent Architecture & Design\nLead the end-to-end architecture of Agentic AI systems, covering data ingestion, reasoning, decision-making, action execution, and audit logging.\nDefine agent scope, decision boundaries, tool specifications, and autonomy levels in alignment with programme stakeholders.\nDesign multi-agent orchestration capabilities such as event routing, resource locking, inter-agent handoff contracts, prompt caching, and shared state management.\nArchitect RAG pipelines for knowledge and diagnosis agents, including corpus design, chunking strategy, embedding model selection, retrieval design, and evaluation methodology.\nDesign agentic workflows, evaluation patterns, hybrid search, reranking strategies, benchmarking approaches, and golden datasets.\nDevelop prompt templates, output schemas, hallucination guardrails, and confidence scoring mechanisms for LLM-based agents.\nProduce and own technical design artefacts including architecture decision records (ADRs), sequence diagrams, data flow diagrams, and agent logic flowcharts.\nOSS Integration & Data Engineering\nAdopt and apply Model Context Protocol (MCP) and Agent-to-Agent protocol patterns as governed extension mechanisms for enterprise AI agents.\nDesign and build data pipeline layers that normalise multi-vendor, multi-format network telemetry into usable schemas for AI reasoning.\nWork with the Network Solution Architect to define integration patterns between AI agents and OSS platforms such as NMS, EMS, ServiceNow ITSM, inventory, and provisioning systems through REST APIs.\nDesign event streaming architecture, such as Kafka or equivalent, to support near real-time alarm and telemetry processing aligned to NOC latency requirements.\nCollaborate with Data Engineering teams to improve the quality of alarm, ticket, and inventory data that supports agent accuracy and reliability.\nSafety, Guardrails & Risk Architecture\nDesign and implement guardrails for all agents, including hard limits, human confirmation flows, blast radius controls, and escalation logic.\nLead blast radius assessments with Network SMEs and Risk teams, documenting worst-case impacts and defining mitigating controls.\nDesign and validate rollback procedures for agent-initiated actions, including KPI-based automated rollback triggers.\nEnsure solution architectures comply with IMDA requirements, AIVerify expectations, InfoSec policies, and relevant change governance processes.\nObservability & Evaluation\nDesign decision audit trail schemas to ensure all agent actions and decisions are traceable, explainable, and reviewable.\nDefine continuous evaluation approaches for production agent traces using LLM-as-judge and human review samples.\nBuild or guide the development of Agent Operations Dashboards for NOC teams, showing agent health, decision activity, accuracy, and exceptions.\nDefine agent evaluation frameworks across factual accuracy, reasoning quality, retrieval performance, planning quality, tool-call accuracy, and confidence thresholds.\nDesign drift detection mechanisms to identify output quality degradation before operational impact occurs.\nDelivery & Stakeholder Collaboration\nPartner with the Project Director on design planning, sprint planning, design governance, and build readiness.\nWork with Network SME owners to validate architectural decisions against real operational workflows and constraints.\nLead technical walkthroughs with NOC management and Central AI Infrastructure leadership to build confidence in the proposed architecture.\nProvide mentorship and technical guidance to AI/ML engineers and integration engineers through code reviews, architecture reviews, and design support.\nTranslate technical decisions into clear, concise, non-technical summaries for programme leadership and steering committees.\nThe ideal candidate should possess:\nRequired / Mandatory experience\nMinimum 7 years of experience in AI/ML engineering or application solution architecture.\nAt least 1 year of hands-on experience in production Agentic AI systems, beyond proof-of-concept or prototype work.\nDemonstrated experience designing and deploying AI agents that use external tools, manage state, and operate in production environments.\nHands-on experience with LLM APIs such as OpenAI or Anthropic Claude, or with open-source LLMs on vLLM such as Qwen, Mistral, or DeepSeek.\nStrong experience in prompt engineering, evaluation design, and cost management for production AI systems.\nProven experience designing and implementing RAG pipelines with vector databases such as Milvus, Pinecone, Weaviate, Chroma, pgvector, or equivalent.\nExperience integrating AI systems with enterprise operational platforms such as ITSM, monitoring, streaming, or telemetry systems.\nAbility to write code, build prototypes, and review pull requests as part of hands-on delivery.\nHighly desirable experience\nExperience in Telco, utilities, or other 24×7 critical infrastructure environments.\nFamiliarity with OSS platforms and protocols such as NMS, EMS, network alarm management, NETCONF/YANG, or gNMI streaming telemetry.\nExperience designing AI systems under regulatory, audit, security, and formal risk governance requirements.\nExperience with network automation platforms such as Cisco NSO, Nokia CloudBand, or ONAP.\nFamiliarity with TM Forum Autonomous Network Maturity Model (L0-L5).\nWorking knowledge of frameworks such as LangChain and LangGraph.\nDesirable certifications\nMicrosoft Certified Agentic AI Business Solutions Architect\nAWS Certified Generative AI Developer - Professional\nAWS Machine Learning Specialty\nGoogle Professional Machine Learning Engineer\nEducation qualification\nDegree in Computer Science, Electrical Engineering, AI/ML, or a related technical field.\nA postgraduate qualification is advantageous, but not required if supported by strong demonstrated experience.\nWe are driven by our AEIOU beliefs-Adventure, Excellence, Integrity, Ownership, and Unity-and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.\nTogether, we make the extraordinary happen.\nLearn more about us at ncs.co and visit our LinkedIn career site.\nScam Alert\nWe are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.\nPlease note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. 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