{"id":1308111,"url":"https://alion.io/job/globe-telecom-ai-operations-engineer","title":"AI Operations Engineer","company":{"id":50025,"name":"Globe Telecom","domain":"globe.com.ph","url":"https://alion.io/company/globe-telecom","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":253,"ghost_share":0.008,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":371,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":53000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2216},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"ITSM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-03-03T00:00:00Z","employer_posted_date":"2026-03-03","last_verified_at":"2026-10-25T02:52:32Z","board_verified":true,"closed_at":null,"days_open":236,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":236},"description":"At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.\nJob Description\nResponsible for operationalizing AI at scale to improve network performance, service reliability, and operational efficiency. They bridge data science, network engineering, and operations, ensuring AI models move from experimentation into real-time, mission-critical use.DUTIES & RESPONSIBILITIES\n1. AI Operationalization in Network Ops\nDeploy and operate AI/ML models used for fault prediction, alarm correlation, anomaly detection, root-cause analysis, traffic forecasting, and capacity optimization\n\nIntegrate AI outputs into NOC & NOA Digital Ecosystem tools, OSS/NMS, ITSM, and network automation platforms\n\nSupport closed-loop and human-in-the-loop automation for incident, change, and performance management\n\nEnsure telecom-grade availability, latency, scalability, and resiliency\n\n2. AI Quality Assurance & Network Safety\nValidate network data sources (KPIs, counters, alarms, logs, traces, telemetry) for accuracy and completeness\n\nTest AI behavior under normal, peak, and failure scenarios across RAN, transport, core, and cloud domains\n\nPrevent AI-driven actions that could cause network instability, service degradation, or SLA breaches\n\nDefine and enforce AI quality gates before production rollout\n\n3. Monitoring, Drift & Lifecycle Management\nContinuously monitor model performance, confidence, data drift, and concept drift\n\nEstablish thresholds to trigger alerts, rollback, retraining, or manual intervention\n\nManage model versioning, baselines, and performance history across releases\n\n4. Governance, Explainability & Compliance\nEnsure AI recommendations are interpretable and actionable for NOC engineers\n\nMaintain audit trails for AI decisions affecting network configuration or traffic\n\nEnforce security, privacy, and regulatory compliance\n\n5. Collaboration & Continuous Improvement\nWork with network engineers, data scientists, DevOps, NOC & Operations teams\n\nEmbed AI QA into CI/CD and MLOps pipelines\n\nDrive continuous optimization of AI models based on live network feedback\n\nNATURE OF PROBLEMS ENCOUNTERED\nAn AI Operations & QA Professional faces problems driven by dynamic data, probabilistic models, and high operational risk. Common challenges include poor or inconsistent data quality, model performance degradation caused by data and network changes, and managing false positives or missed incidents that erode operator trust. They must ensure AI decisions are explainable and auditable, especially in regulated, mission-critical environments. Additional issues include safely controlling automation to avoid cascading failures, integrating AI with complex legacy systems, and validating models against rare but severe edge cases. Overall, the role centers on managing uncertainty, reliability, and trust in live AI systems.\nREQUIREMENTS\nTechnical Skills\nStrong understanding of AI/ML fundamentals (model types, training, inference, evaluation metrics)\n\nHands-on experience with MLOps/AIOps tools and practices (model deployment, monitoring, retraining)\n\nData engineering skills: data validation, feature pipelines, data drift detection\n\nExperience with CI/CD, automation, and Infrastructure as Code\n\nProficiency in Python and scripting for testing, monitoring, and automation\n\nKnowledge of cloud, edge, and container platforms (Docker, Kubernetes)\n\nFamiliarity with monitoring, logging, and observability tools\n\nSoft Skills\nStrong analytical and troubleshooting mindset\n\nClear communication with both technical and operations teams\n\nAbility to balance innovation with operational risk and reliability\n\n Level of Knowledge: 2, 3\nLevel 2 - Experienced: 3-4 years of work experience in the desired/closely related area(s) \nLevel 3 - Solid: 5-7 years of work experience in the desired/closely related area(s)\nCompetencies\nStrong foundation insoftware build, testing, deployment, and monitoring\n\nSolid understanding ofversion control, automation, and deployment strategies\n\nAbility to manage multiple tasks and prioritize effectively\n\nWillingness and capability tolearn quickly and adapt to new tools and technologies\n\nStrong collaboration skills with acustomer-first mindset\n\nClear communication skills to ensure alignment onsecurity, scalability, and reliability requirements\n\nAbility to understandsystem architecture and interact with multiple application components written in different programming languages\n\nEqual Opportunity Employer\nGlobe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.\nGlobe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here\nMake Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.","description_format":"text","description_chars":5126,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Telecommunications","Broadband"],"lifecycle":[{"event":"open","at":"2026-09-26T14:58:07Z"}],"visa":[],"liveness":{"score":55,"band":"ok","label":"Likely open","p_open":0.9,"p_active":0.841,"p_room":0.72,"age_days":235,"expected_fill_days":371,"reasons":["conf:52","velocity","win:mid","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/globe-telecom-ai-operations-engineer","json_url":"https://alion.io/job/globe-telecom-ai-operations-engineer.json","meta":{"generated_at":"2026-10-25T05:51:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8046,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":50025},"rest":"https://alion.io/mcp/rest/get_company?id=50025"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fglobe-telecom-ai-operations-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fglobe-telecom-ai-operations-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fglobe-telecom-ai-operations-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/globe-telecom-ai-operations-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fglobe-telecom-ai-operations-engineer"}]}