Major Responsibilities<\/p>\n
AI Systems Administration & Operations (40%)<\/p>\n
\tServe as primary technical administrator across IRC enterprise AI environments, currently including Anthropic (Claude) and OpenAI platform deployments
\n\tManage user access, API key governance, workspace configurations, and environment-level settings across AI platforms
\n\tMonitor system health, usage patterns, and API performance across AI tools; triage and resolve operational issues as they arise
\n\tMaintain and improve observability across AI systemsTracking uptime, error rates, token consumption, and integration reliability
\n\tOversee and document configuration changes, environment updates, and deployment procedures across managed platforms
\n\tSupport responsible use by flagging anomalous usage patterns and coordinating with InfoSec on policy adherence and access controls<\/p>\n
Integrations & Technical Implementation (35%)<\/p>\n
\tCoordinate with the DevOps, SW Engineering and Data Engineering team(s) on deployment processes, environment access, and infrastructure dependencies required to build and maintain AI integrations
\n\tFollow established change management procedures for all configuration changes, environment updates, and integration deployments, including documentation, testing, and appropriate approvals before pushing to production
\n\tDevelop lightweight scripts, connectors, and automations to support AI-assisted workflows across teams, primarily in Python and\/or\u00a0JavaScript\/TypeScript
\n\tTroubleshoot integration failures, data flow issues, and API connectivity problems across the AI ecosystem
\n\tCollaborate with the data engineering team on AI\/KM pipeline work, including vector store ingestion, retrieval configuration, and source data connections
\n\tContribute to technical design discussions with engineering partners, translating operational requirements into implementable solutions
\n\tMaintain technical documentation for all integrations, including architecture notes, runbooks, and dependency maps<\/p>\n
Monitoring, Resource Optimization & InfoSec Liaison (15%)<\/p>\n
\tTrack and report on AI resource utilization across platforms, identifying opportunities to reduce waste and improve cost efficiency in coordination with the AI\u00a0
\n\tServe as the technical point of contact with the InfoSec team on matters related to AI system security, data handling, access controls, and compliance requirements
\n\tSupport risk assessments and security reviews for new AI tools or integrations by providing accurate technical context on system behavior and data flows
\n\tContribute to the development of technical SOPs and best-practice guidelines for AI system use, in coordination with the AI Platform Support Director and relevant stakeholders<\/p>\n
Stakeholder Support & Collaboration (10%)<\/p>\n
\tAct as a technical resource for program and operations teams adopting AI tools, including answering implementation questions, supporting troubleshooting, and identifying configuration solutions
\n\tParticipate in rollout planning for new AI capabilities, providing grounded input on technical feasibility, integration requirements, and operational readiness
\n\tCollaborate with the AI Platform Support Director on onboarding documentation and technical guidance materials for end users
\n\tContribute to sprint and project planning with accurate estimates on technical effort and dependencies<\/p>\n
Required Experience & Skills<\/p>\n
AI & Cloud Platforms<\/p>\n
\tHands-on experience administering enterprise AI platforms (Anthropic, OpenAI, Azure OpenAI, or comparable tools), including API management, access controls, and environment configuration
\n\tFamiliarity with LLM application infrastructure: prompt pipelines, Model Context Protocol (MCP), other tool-calling integration frameworks, vector databases, retrieval-augmented generation (RAG) patterns, and embedding workflows
\n\tExperience working with Databricks or comparable data\/ML platforms is a strong plus<\/p>\n
Integration & Development<\/p>\n
\tProficiency in Python and\/or JavaScript for scripting, automation, and lightweight integration work
\n\tExperience building and maintaining REST API integrations, including authentication patterns, webhook handling, and error management
\n\tComfort reading and working within existing codebases without requiring significant architectural guidance
\n\tFamiliarity with version control (Git) and standard deployment practices for scripts and integrations<\/p>\n
Systems Administration & Monitoring<\/p>\n
\tExperience monitoring distributed systems or SaaS platforms, including setting up alerting, reviewing logs, and diagnosing performance or availability issues
\n\tFamiliarity with usage\/cost monitoring for cloud or API-based services
\n\tComfort operating in live production environments where reliability and data integrity are critical<\/p>\n
Security & Compliance<\/p>\n
\tWorking knowledge of information security principles as they apply to SaaS and API-based systems: access controls, credential management, data handling, and audit logging
\n\tAbility to engage constructively with InfoSec teams, providing clear technical context to support reviews and risk assessments<\/p>\n
Collaboration & Communication<\/p>\n
\tAbility to communicate technical concepts clearly to non-technical colleagues and program staff
\n\tExperience contributing to cross-functional teams alongside product, engineering, and operations stakeholders
\n\tStrong documentation habits: runbooks, SOPs, architecture notes, and internal guides<\/p>\n
go to method of application \u00bb<\/p>\n
Use the link(s) below to apply on company website. \u00a0<\/p>\n
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