{"id":4312743,"url":"https://alion.io/job/runmap-infotech-ai-operations-specialist","title":"AI Operations Specialist","company":{"id":4434620,"name":"Runmap Infotech","domain":"runmapglobal.com","url":"https://alion.io/company/runmap-infotech","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"AI 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8+ Years.\n\nLocation : Remote (PAN India).\n\nEmployment Type : Full-Time / Contract.\n\nRole Overview :\n\nWe are looking for an experienced AI Operations Specialist with 8+ years of experience in IT Operations, Application Support, Platform Operations, SaaS Operations, DevOps, or MLOps.\n\nThe candidate will be responsible for supporting and managing enterprise AI platforms, AI agents, machine learning solutions, and production AI services.\n\nThe role involves production support, incident management, service monitoring, cost optimization, security and governance compliance, production readiness, and coordination with cross-functional teams.\n\nResponsibilities :\n\n- Operate and support enterprise AI platforms, AI agents, machine learning solutions, APIs, integrations, and related services across their production lifecycle.\n\n- Manage incidents, service requests, access provisioning, onboarding, configurations, permissions, defects, changes, releases, and vendor escalations.\n\n- Monitor platform health, availability, latency, usage, token consumption, operational costs, failures, and service quality using dashboards, logs, traces, and alerts.\n\n- Coordinate production readiness activities, including security approvals, identity and access setup, environment readiness, integration testing, deployments, controlled releases, hypercare, and transition to support.\n\n- Troubleshoot technical and functional issues related to AI tools, APIs, authentication, data connections, workflows, prompts, models, agents, and platform configurations.\n\n- Ensure compliance with enterprise security, privacy, data protection, responsible AI, access control, retention, audit, and change management requirements.\n\n- Maintain operational documentation, runbooks, support procedures, configuration records, known issues, release communications, user guides, and audit evidence.\n\n- Coordinate with engineering, platform, data, security, governance, vendors, service management, and business teams.\n\n- Track project activities, risks, dependencies, action items, decisions, timelines, and operational improvements.\n\n- Identify opportunities to automate repetitive operational tasks and improve service delivery processes.\n\nSkills & Experience :\n\n- 8+ years of experience in Application Support, IT Operations, Platform Operations, SaaS Operations, Technical Service Management, DevOps, MLOps, or related roles.\n\n- Hands-on experience with incident, problem, change, release, request, and knowledge management using ServiceNow or similar ITSM tools.\n\n- Working knowledge of enterprise identity and access management, Single Sign-On (SSO), Role-Based Access Control (RBAC), service accounts, APIs, and integrations.\n\n- Understanding of cloud services, application monitoring, logs, alerts, production troubleshooting, and service health management.\n\n- Practical understanding of Generative AI, AI agents, machine learning concepts, prompt engineering, model behaviour, evaluation, and responsible AI principles.\n\n- Ability to monitor and interpret operational metrics such as usage, token consumption, cost, latency, failures, and service quality.\n\n- Knowledge of enterprise security, data privacy, data classification, sensitive data handling, least-privilege access, auditability, and governance controls.\n\n- Strong coordination, stakeholder management, documentation, and communication skills.\n\n- Basic scripting or automation experience using Python, PowerShell, Bash, SQL, workflow automation, or APIs.\n\n- Familiarity with enterprise AI platforms such as Anthropic Claude, Microsoft Copilot Studio, Azure AI, Google Cloud Vertex AI, Salesforce Agentforce, or similar platforms.\n\n- Exposure to AI observability, model or agent registries, CI/CD pipelines, evaluation frameworks, data pipelines, and cost-monitoring tools.\n\n- Knowledge of ITIL practices and experience supporting AI pilot rollouts, production deployments, hypercare, and vendor-managed 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