Digital Workplace Platform Administrator

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the primary technical administrator for IRC's enterprise AI environments, encompassing deployments of Anthropic Claude and the OpenAI platform.

• Oversee user access, API key governance, workspace configurations, and settings at the environment level.

• Monitor system health, usage trends, and API performance; triage and resolve operational challenges.

• Enhance and maintain observability by tracking uptime, error rates, token consumption, and integration reliability.

• Supervise and document configuration changes, environment updates, and deployment protocols.

• Identify unusual usage patterns and collaborate with InfoSec to ensure adherence to policies and access controls.

• Work alongside DevOps, software engineering, and data engineering teams regarding deployments, access to environments, and infrastructure dependencies.

• Adhere to change management protocols, which include documentation, testing, approvals, and production deployment.

• Create lightweight scripts in Python and/or JavaScript/TypeScript, along with connectors and automation processes.

• Troubleshoot failures in integration, data flow issues, and API connectivity challenges.

• Collaborate on AI/knowledge-management pipeline initiatives, such as vector store ingestion, retrieval configuration, and source data connections.

• Participate in technical design discussions and convert operational requirements into actionable solutions.

• Maintain integration documentation, architecture notes, runbooks, and dependency maps.

• Track and report on AI resource usage, identifying opportunities for cost efficiency.

• Act as the technical liaison with InfoSec regarding AI system security, data management, access controls, and compliance matters.

• Assist in conducting risk assessments and security reviews for new AI tools and integrations.

• Contribute to the development of technical SOPs and best practices guidelines.

• Support program and operations teams in the adoption of AI tools through implementation guidance and troubleshooting assistance.

• Engage in planning for the rollout of new AI capabilities.

• Collaborate on onboarding documentation and provide technical guidance for end users.

• Contribute to sprint and project planning by estimating technical effort and dependencies.

⛳️ Requirements

• Practical experience in administering enterprise AI platforms like Anthropic, OpenAI, Azure OpenAI, or similar tools, covering API management, access controls, and environment setup.

• Understanding of LLM application infrastructure, including prompt pipelines, Model Context Protocol (MCP), tool-calling integration frameworks, vector databases, RAG patterns, and embedding workflows.

• Experience with Databricks or similar data/ML platforms is highly advantageous.

• Proficiency in Python and/or JavaScript for scripting, automation, and lightweight integration tasks.

• Experience in building and managing REST API integrations, including authentication methods, webhook handling, and error management.

• Ability to navigate and work within existing codebases without needing extensive architectural guidance.

• Familiarity with Git and standard deployment practices for scripts and integrations.

• Experience in monitoring distributed systems or SaaS platforms, including alerting, log reviews, and diagnosing performance or availability issues.

• Understanding of usage and cost monitoring for cloud or API-based services.

• Comfort operating in live production environments where reliability and data integrity are paramount.

• Working knowledge of information security principles applicable to SaaS and API-based systems, including access controls, credential management, data handling, and audit logging.

• Ability to constructively engage with InfoSec teams and assist with reviews and risk assessments.

• Proficiency in conveying technical concepts clearly to non-technical colleagues and program staff.

• Experience contributing to cross-functional teams involving product, engineering, and operations stakeholders.

• Strong documentation practices, including the creation of runbooks, SOPs, architecture notes, and internal guides.

• Capacity to submit a required cover letter addressing the specified AI/platform release question.

🏝️ Benefits

• 10 days of paid sick leave.

• 10 U.S. holidays.

• 20-25 days of 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 commuting expenses.

• 403(b) retirement savings plan with employer matching and immediate vesting.

• Non-elective employer retirement contributions based on age and years of service, with a 3-year vesting period.

• Disability and life insurance coverage.

• Employee Assistance Program (EAP) providing confidential counseling and support services for employees and their families.

• Fully remote work opportunity.