AI Architect- Federated Agentic Systems

The Global Centre for Risk and Innovation (GCRI) is a globally recognized leader in sovereign infrastructure, disaster risk governance, and strategic foresight. With Special Consultative Status at the United Nations ECOSOC, and programmatic engagements across more than 120 countries, GCRI is advancing the frontier of responsible AI, multilateral treaty intelligence, and planetary-scale resilience systems. Our work bridges Disaster Risk Reduction (DRR), Disaster Risk Finance (DRF), and Disaster Risk Intelligence (DRI)—supporting governments, multilateral agencies, and science-policy communities with next-generation simulation, modeling, and decision systems.

We are now building a new class of sovereign AI infrastructure designed to meet the unique needs of institutions that require transparency, trust, and traceability in their use of artificial intelligence. This includes treaty-driven simulation environments, anticipatory risk systems, and clause-certified intelligence layers aligned with the global governance and sustainability agenda. We are hiring a Founding AI Architect to lead the technical direction of this groundbreaking initiative.

About the Role

We are building an agentic AI infrastructure capable of delivering verifiable, sovereign-aligned intelligence for institutions tasked with managing systemic risk. This is not an MLops or model-tuning position. It is a senior systems role focused on building trustworthy, transparent, and autonomous AI ecosystems that can support treaty negotiations, foresight forecasting, early warning, and high-stakes multilateral decision-making.

You will be responsible for designing the core AI architecture, including model integration layers, semantic simulation agents, and traceable output pipelines that align with governance, legal, and financial oversight requirements. Your work will anchor AI outputs to simulation environments, clause-based policies, and sovereign data registries—bringing forward the next generation of AI infrastructure for public use.

You’ll collaborate directly with GCRI’s leadership, global science-policy stakeholders, and multilateral technical groups. You will lead engineering strategy, model orchestration, and applied R&D to ensure that institutional AI operates with measurable accountability, public utility, and scientific validity.

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Responsibilities

AI Infrastructure Design

• Design and implement a modular, sovereign-grade AI architecture optimized for simulation, interpretability, and legal traceability
• Lead development of agentic AI frameworks that operate within predefined simulation constraints and policy clause conditions
• Develop core services for model verification, reproducibility, and domain adaptation across environmental, financial, and geopolitical contexts

Model Engineering and Deployment

• Oversee integration of open-source foundation models (e.g., LLMs, vision models, time series predictors) into multilateral risk intelligence workflows
• Build systems for semantic clause parsing, multilingual simulation agents, and context-aware foresight scoring
• Lead benchmarking of outputs for interpretability, bias mitigation, and long-term reproducibility

Alignment with Risk, Governance, and Public Interest Use Cases

• Embed DRR/DRF/DRI use cases into the training, fine-tuning, and deployment cycles of institutional models
• Ensure AI outputs are audit-ready, reproducible, and suitable for use in sovereign and treaty-based governance processes
• Collaborate with legal, scientific, and data governance teams to embed principles of explainability, accountability, and legitimacy in AI design

Strategy, Leadership, and Community Building

• Define the AI roadmap in alignment with GCRI’s mission and platform strategy
• Engage with open-source communities, simulation councils, and research partners to expand AI interoperability
• Contribute to GCRI’s multilateral engagements on AI safety, treaty AI, and clause-based modeling frameworks

Qualifications

Required Expertise

• Proven track record designing AI systems for mission-critical or regulated environments (e.g., science, climate, finance, public policy)
• Deep understanding of:
  • Foundation model architectures and training/inference workflows
  • Human-AI alignment, agent-based simulation, and structured interpretability
  • Model versioning, auditability, and reproducibility under sovereign data conditions
• Strong experience working with one or more open-source AI/ML ecosystems (e.g., Hugging Face, LangChain, RAG stacks, ONNX, RLHF pipelines)

Preferred Experience

• Background in deploying AI for DRR, public forecasting, scientific modeling, or treaty intelligence
• Familiarity with multi-agent systems, simulation environments, and clause- or rule-based reasoning engines
• Experience in intergovernmental or high-accountability policy contexts where AI must demonstrate verifiable integrity

What We Offer

• A foundational role in architecting global-scale, institutional AI infrastructure at the intersection of science, law, and finance
• Equity and protocol-aligned governance rights within a pioneering public-interest platform
• Direct application of your work in global institutions, UN processes, and multilateral simulations
• Long-term advancement path toward Chief Intelligence Officer, platform co-founder, or open infrastructure steward
• An environment grounded in open science, foresight governance, and global risk innovation

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Application Process

We are looking for individuals who can design AI infrastructure that meets the highest standards of accountability, foresight, and public trust. Candidates must demonstrate both technical excellence and systems-level thinking.

Please submit:

• A short statement describing your vision for transparent, sovereign-aligned AI infrastructure
• Resume or CV
• (Optional) GitHub, published research, open-source contributions

Qualified candidates will be invited to a model architecture challenge and institutional alignment discussion with GCRI and global advisors.