Digital Workplace Platform Administrator

International Rescue Committee•New York, NY

3d•$88,277 - $102,451•Remote

About The Position

The International Rescue Committee (IRC) is hiring a technical operations professional to administer and maintain its enterprise AI environment. The role supports the organization's investment in AI platforms and integrated data environments by managing platform configurations and API access, maintaining integrations with IRC systems, developing scripts and automations, and supporting reliability, security, and observability. The posting describes the role as primarily technical rather than user-facing, with day-to-day work involving system logs, troubleshooting pipelines, and configuration changes. The role works closely with the AI Platform Support Director, who owns vendor relationships, licensing, and adoption strategy, while this position focuses on technical execution and ensuring systems are reliable and connected to IRC’s data and operational environment. Responsibilities include administering enterprise AI platforms such as Anthropic Claude and OpenAI; managing access, API keys, workspace settings, and platform configurations; monitoring system health, usage, and API performance; and documenting changes and deployment procedures. The administrator coordinates with DevOps, software engineering, and data engineering teams to maintain AI integrations, builds lightweight scripts and connectors, troubleshoots data flows and API connectivity, and contributes to AI and knowledge-management pipeline work involving vector stores, retrieval configuration, and source data connections. The role also monitors resource utilization and cost efficiency, serves as a technical point of contact for InfoSec on AI security and data-handling matters, and provides technical context for risk assessments and security reviews. It supports program and operations teams adopting AI tools, contributes to rollout planning and project estimates, and helps develop onboarding documentation and technical guidance. The position is remote, with possible in-person work depending on location. Stakeholders work across GMT-8 to GMT+3, so occasional early or late meetings may be required. The listed annual compensation range is $88,277–$102,451, with exact offers calibrated by work location, candidate experience and skills, and other stated factors. A short cover letter answering a question about a recently learned AI or platform release is required for an application to be considered.

Requirements

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, retrieval-augmented generation (RAG), and embedding workflows.
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 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 and 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 work constructively with InfoSec teams and provide technical context for reviews and risk assessments.
Ability to communicate technical concepts clearly to non-technical colleagues and program staff.
Experience contributing to cross-functional teams alongside product, engineering, and operations stakeholders.
Strong documentation habits, including runbooks, SOPs, architecture notes, and internal guides.
Ability to accommodate occasional early or late meetings across stakeholder time zones GMT-8 to GMT+3.
Submit a short cover letter answering the application question about a recent AI or platform release learned quickly; applications without one cannot move forward.

Nice To Haves

Experience working with Databricks or comparable data/ML platforms.

Responsibilities

Administer IRC enterprise AI environments, currently including Anthropic Claude and OpenAI deployments.
Manage user access, API key governance, workspace configurations, and environment-level platform settings.
Monitor AI 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.
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 deployment processes, environment access, and infrastructure dependencies for AI integrations.
Follow change-management procedures for configuration changes, environment updates, and integration deployments, including documentation, testing, and approvals before production changes.
Develop lightweight scripts, connectors, and automations for AI-assisted workflows, primarily using Python and/or JavaScript/TypeScript.
Troubleshoot integration failures, data-flow issues, and API connectivity problems.
Collaborate with data engineering on AI and 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, including architecture notes, runbooks, and dependency maps.
Track and report AI resource utilization, identifying opportunities to reduce waste and improve cost efficiency in coordination with the AI team.
Serve as the technical point of contact with InfoSec regarding AI system security, data handling, access controls, and compliance requirements.
Support risk assessments and security reviews for new AI tools or integrations by providing technical context about system behavior and data flows.
Contribute to technical SOPs and best-practice guidelines for AI system use.
Provide technical support to program and operations teams adopting AI tools, including answering implementation questions, troubleshooting, and identifying configuration solutions.
Participate in rollout planning for new AI capabilities, advising on technical feasibility, integration requirements, and operational readiness.
Collaborate with the AI Platform Support Director on onboarding documentation and technical guidance for end users.
Contribute to sprint and project planning with estimates of technical effort and dependencies.

Benefits

10 paid sick leave days.
10 U.S. holidays.
20–25 paid time off days, based on role and tenure.
Medical insurance starting at $163 per month.
Dental insurance starting at $6.50 per month.
Vision insurance starting at $5 per 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 three-year vesting.
Disability insurance.
Life insurance.
Employee Assistance Program offering confidential counseling and support services for employees and their families.