Vacancies at International Rescue Committee

Major Responsibilities:

Learning Program Design & Development

• Establish the foundational baseline, by designing a concise, high-impact foundational AI literacy experience accessible to all staff
• Build solutions that bring learning into the flow of work. Identify opportunities to embed gen AI into learning, enable staff to practice skills, explore role-specific use cases, coach and contextualize AI skills in real work situations
• Source, curate and create engaging, accessible learning experiences in multiple formats: facilitated live coaching and demonstration, self-paced eLearning courses, microlearning modules, video tutorials, job aids, quick reference guides, and interactive workshops
• Develop scenario-based learning activities that reflect real humanitarian work contexts and challenges
• Ensure all learning materials adhere to adult learning principles, are optimized for low-bandwidth environments where applicable, and are available in core IRC languages where needed 
• Integrate principles of responsible AI use, data protection, and ethical considerations into all learning materials
• Promote awareness of AI risks, limitations, and appropriate use cases in humanitarian contexts 

Upskilling Delivery & Facilitation

• Facilitate live virtual hands-on training sessions with generative AI tools and applications for real-time demonstration, experimentation, and feedback
• Provide coaching and support to staff at various skill levels, from AI beginners to advanced users
• Develop and deliver specialized training for specific use cases and staff types/profiles

Stakeholder Collaboration & Needs Assessment

• Partner closely with the AI Staff and Culture Task Force and other AI working groups to align learning initiatives with organizational AI strategy
• Gather feedback from learners and conduct regular needs assessments with staff across regions and departments to identify learning gaps, determine effectiveness, and establish priorities
• Collaborate with IT, Data, and other technical teams to stay current on AI tool implementations and changes, and where to integrate learning touchpoints into technology platforms
• Equip a cohort of “learner-teachers” across departments and managers with contextual AI skills, habits and language  

Learning Analytics & Continuous Improvement

• Track learning metrics including participation rates, completion rates, skill assessments, and learner satisfaction
• Analyze learning data to identify trends, measure impact, and demonstrate ROI of AI capacity building efforts
• Improve learning programs based on data insights and user feedback
• Document best practices and lessons learned for organizational knowledge management

Key Working Relationships:

Position Reports to:  Director, Global Learning & Development
Position directly supervises:  N/A

Requirements:

• Minimum 4-6 years of experience in learning and development, instructional design, or training delivery
• Advanced knowledge and use of generative AI applications (e.g., ChatGPT, Claude, Gemini, Microsoft Copilot) including prompt engineering, AI-assisted content creation, AI workflow integration, and AI capabilities and limitations
• Demonstrated experience designing and executing upskilling programs across a range of mediums, including eLearning courses and digital learning content
• Experience working in international development, humanitarian, or nonprofit sectors strongly preferred
• Experience creating multilingual or cross-cultural learning programs a plus
• Strong proficiency with eLearning authoring tools (e.g., Articulate 360)
• Familiarity with Learning Management Systems (LMS) and learning analytics platforms
• Strong understanding of change management principles and experience implementing/supporting change
• Proficiency with Microsoft 365, Google Workspace, and collaboration tools
• Experienced in innovative approaches to learning design that engages and motivates adult learners
• Fluency in English required. Professional proficiency in French, Spanish, or Arabic preferred

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Major Responsibilities

AI Systems Administration & Operations (40%)

• Serve as primary technical administrator across IRC enterprise AI environments, currently including Anthropic (Claude) and OpenAI platform deployments
• Manage user access, API key governance, workspace configurations, and environment-level settings across AI platforms
• Monitor system health, usage patterns, and API performance across AI tools; triage and resolve operational issues as they arise
• Maintain and improve observability across AI systemsTracking uptime, error rates, token consumption, and integration reliability
• Oversee and document configuration changes, environment updates, and deployment procedures across managed platforms
• Support responsible use by flagging anomalous usage patterns and coordinating with InfoSec on policy adherence and access controls

Integrations & Technical Implementation (35%)

• Coordinate 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
• Follow established change management procedures for all configuration changes, environment updates, and integration deployments, including documentation, testing, and appropriate approvals before pushing to production
• Develop lightweight scripts, connectors, and automations to support AI-assisted workflows across teams, primarily in Python and/or JavaScript/TypeScript
• Troubleshoot integration failures, data flow issues, and API connectivity problems across the AI ecosystem
• Collaborate with the data engineering team on AI/KM pipeline work, including vector store ingestion, retrieval configuration, and source data connections
• Contribute to technical design discussions with engineering partners, translating operational requirements into implementable solutions
• Maintain technical documentation for all integrations, including architecture notes, runbooks, and dependency maps

Monitoring, Resource Optimization & InfoSec Liaison (15%)

• Track and report on AI resource utilization across platforms, identifying opportunities to reduce waste and improve cost efficiency in coordination with the AI 
• Serve as the technical point of contact with the InfoSec team on matters related to AI system security, data handling, access controls, and compliance requirements
• Support risk assessments and security reviews for new AI tools or integrations by providing accurate technical context on system behavior and data flows
• Contribute 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

Stakeholder Support & Collaboration (10%)

• Act as a technical resource for program and operations teams adopting AI tools, including answering implementation questions, supporting troubleshooting, and identifying configuration solutions
• Participate in rollout planning for new AI capabilities, providing grounded input on technical feasibility, integration requirements, and operational readiness
• Collaborate with the AI Platform Support Director on onboarding documentation and technical guidance materials for end users
• Contribute to sprint and project planning with accurate estimates on technical effort and dependencies

Required Experience & Skills

AI & Cloud Platforms

• Hands-on experience administering enterprise AI platforms (Anthropic, OpenAI, Azure OpenAI, or comparable tools), including API management, access controls, and environment configuration
• Familiarity 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
• Experience working with Databricks or comparable data/ML platforms is a strong plus

Integration & Development

• 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 version control (Git) and standard deployment practices for scripts and integrations

Systems Administration & Monitoring

• Experience monitoring distributed systems or SaaS platforms, including setting up alerting, reviewing logs, 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

Security & Compliance

• Working knowledge of information security principles as they apply to SaaS and API-based systems: access controls, credential management, data handling, and audit logging
• Ability to engage constructively with InfoSec teams, providing clear technical context to support reviews and risk assessments

Collaboration & Communication

• 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: runbooks, SOPs, architecture notes, and internal guides