AI Platform Engineer

International Rescue Committee•Nairobi, NY

1d•$88,277 - $102,451•Remote

About The Position

The International Rescue Committee (IRC) is actively investing in enterprise AI to improve the speed, quality, and scale of its programs and operations. As the organization expands its use of AI platforms, including tools from Anthropic, OpenAI, and integrated data environments, the IT department is building dedicated technical capacity to keep these systems running reliably, securely, and effectively. The AI Platform Engineer is responsible for the technical layer underneath enterprise AI, managing the systems, integrations, and infrastructure that make AI tools work at scale. This is a technical operations role focused on managing platform configurations, API access, building and maintaining integrations, writing scripts and automations, and serving as the technical point of contact for data engineering and InfoSec. The role works in close coordination with the AI Platform Support Director, who owns vendor relationships, licensing, and adoption strategy, while this role owns the technical execution to ensure systems are reliable, observable, and properly connected to the IRC's data and operational environment.

Requirements

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
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
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
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
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

Nice To Haves

Experience working with Databricks or comparable data/ML platforms is a strong plus

Responsibilities

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 systems, tracking 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
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
Track and report on AI resource utilization across platforms, identifying opportunities to reduce waste and improve cost efficiency in coordination with the AI Platform Support Director
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
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

Benefits

10 sick days
10 US holidays
20-25 paid time off days depending on role and tenure
medical insurance starting at $163 per month
dental starting at $6.50 per month
vision starting at $5 per month
FSA for healthcare and commuter costs
a 403b retirement savings plans with immediately vested matching
disability & life insurance
Employee Assistance Program which is available to our staff and their families to support counseling and care in times of crisis and mental health struggles