Digital Workplace Platform Administrator

INTERNATIONAL RESCUE COMMITTEE

. Serve as primary technical administrator across IRC enterprise AI environments, including Anthropic Claude and OpenAI platform deployments .

Posted 11/5/2026full-timeRemote • United StatesMid-LevelSenior💰 $88,277 - $102,451 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in administering enterprise AI platforms, including managing API integrations, user access, and environment configurations. Proficient in Python and JavaScript for automation and scripting, with a strong focus on security, compliance, and operational efficiency.

Highest-signal resume keywords

Enterprise AI Platform AdministrationAPI ManagementPython ScriptingInformation Security PrinciplesREST API Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaScriptAPI ManagementREST API IntegrationMonitoring Distributed SystemsConfiguration ManagementData HandlingAutomationScriptingError Management

Soft Skills

Clear CommunicationCross-Functional CollaborationStrong Documentation Habits

Tools & Technologies

AnthropicOpenAIAzure OpenAIDatabricksGit

Industry Keywords

AI PlatformsSaaSInformation SecurityCloud ServicesDeployment Practices

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Serve as primary technical administrator across IRC enterprise AI environments, including Anthropic Claude and OpenAI platform deployments
Manage user access, API key governance, workspace configurations, and environment-level settings
Monitor system health, usage patterns, and API performance; triage and resolve operational issues
Maintain and improve observability, tracking uptime, error rates, token consumption, and integration reliability
Oversee and document configuration changes, environment updates, and deployment procedures
Flag anomalous usage patterns and coordinate with InfoSec on policy adherence and access controls
Coordinate with DevOps, software engineering, and data engineering teams on deployments, environment access, and infrastructure dependencies
Follow change management procedures, including documentation, testing, approvals, and production deployment
Develop lightweight Python and/or JavaScript/TypeScript scripts, connectors, and automations
Troubleshoot integration failures, data flow issues, and API connectivity problems
Collaborate on AI/knowledge-management pipeline work, including vector store ingestion, retrieval configuration, and source data connections
Contribute to technical design discussions and translate operational requirements into implementable solutions
Maintain integration documentation, architecture notes, runbooks, and dependency maps
Track and report AI resource utilization and identify cost-efficiency opportunities
Serve as technical point of contact with InfoSec on AI system security, data handling, access controls, and compliance
Support risk assessments and security reviews for new AI tools and integrations
Contribute to technical SOPs and best-practice guidelines
Support program and operations teams adopting AI tools through implementation guidance and troubleshooting
Participate in rollout planning for new AI capabilities
Collaborate on onboarding documentation and technical guidance for end users
Contribute to sprint and project planning with technical effort and dependency estimates

Requirements

What you’ll need

Hands-on experience administering enterprise AI platforms such as Anthropic, OpenAI, Azure OpenAI, or comparable tools, including API management, access controls, and environment configuration
Familiarity with LLM application infrastructure, including prompt pipelines, Model Context Protocol (MCP), tool-calling integration frameworks, vector databases, RAG patterns, and embedding workflows
Experience working with Databricks or comparable data/ML platforms is a strong plus
Proficiency in Python and/or JavaScript for scripting, automation, and lightweight integration work
Experience building and maintaining REST API integrations, including authentication patterns, webhook handling, and error management
Comfort reading and working within existing codebases without requiring significant architectural guidance
Familiarity with Git and standard deployment practices for scripts and integrations
Experience monitoring distributed systems or SaaS platforms, including alerting, log review, and diagnosing performance or availability issues
Familiarity with usage/cost monitoring for cloud or API-based services
Comfort operating in live production environments where reliability and data integrity are critical
Working knowledge of information security principles for SaaS and API-based systems, including access controls, credential management, data handling, and audit logging
Ability to engage constructively with InfoSec teams and support reviews and risk assessments
Ability to communicate technical concepts clearly to non-technical colleagues and program staff
Experience contributing to cross-functional teams with product, engineering, and operations stakeholders
Strong documentation habits, including runbooks, SOPs, architecture notes, and internal guides
Ability to complete a required cover letter answering the specified AI/platform release question

Benefits

Comp & perks

10 paid sick leave
10 U.S. holidays
20-25 generous paid time off based on role and tenure
Medical insurance starting at $163/month
Dental insurance starting at $6.50/month
Vision insurance starting at $5/month
Flexible spending accounts for healthcare, dependent care, and commuter expenses
403(b) retirement savings plan with employer match and immediate vesting
Non-elective employer retirement contribution based on age and years of service, with 3-year vesting
Disability and life insurance
Employee Assistance Program (EAP) offering confidential counseling and support services for employees and their families
Fully remote work