Senior Systems Architect

The Global Centre for Risk and Innovation (GCRI) is assembling a systems engineering cohort to co-design and implement the world’s most trusted and verifiable computation infrastructure. We are building a globally interoperable, cryptographically anchored platform for agentic AI, planetary-scale simulations, and sovereign-scale digital infrastructure—with verifiability and trust built into the computational substrate itself.

As a Senior Systems Architect, you will serve as one of the core architects responsible for designing and validating the system’s layered architecture—from modular hardware integration to verifiable inference orchestration. You will work at the intersection of distributed computing, zero-knowledge cryptography, simulation intelligence, decentralized identity, and sovereign cloud protocols.

This is not a product engineering role. It is a systems blueprinting and validation role—tasked with co-creating architecture that is robust, formally grounded, and operationally extensible for 5G/6G, quantum-ready, and federated infrastructures.

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Scope of Work

As part of a collaborative architecture team, you will be responsible for the design, review, and refinement of one or multiple areas of the following system layers:

1. Compute Substrate Layer

• Exascale HPC integration models (multi-node, multi-tenant, GPU/TPU/FPGA environments)
• Distributed orchestration of AI workloads via programmable clause definitions
• Liquid-immersion and SMR-powered compute node design for green sovereignty

2. Verifiability Layer

• Protocol design for zero-knowledge proofs (ZKPs) and trusted execution environments (TEEs)
• Enforceable constraints and attestations for deterministic simulation and AI inference
• Blockchain-native logging and execution proofs integrated into system telemetry

3. Simulation and Agentic AI Infrastructure

• Clause-governed simulation execution and feedback loop encoding
• Digital twin orchestration for high-resolution EO, health, climate, and supply chain models
• Infrastructure support for agentic models with embedded behavioral constraints

4. Trust and Identity Protocols

• Federated Decentralized Identifier (DID) layers for compute nodes, data feeds, and researchers
• Role-based access to sensitive compute, data, and model assets
• On-chain/off-chain hybrid credentialing and compliance enforcement

5. Interoperability and Federation

• Adapter layers for integration with Canadian compute infrastructure
• API blueprinting for sovereign node replication and simulation federation across jurisdictions
• Data sovereignty enforcement across ISO, GDPR, HIPAA, and Canada’s national privacy frameworks

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Your Profile

We’re looking for engineers who don’t just optimize—they invent infrastructure primitives. You should have:

• 10+ years in systems architecture for distributed, cryptographic, or high-assurance computing
• Strong familiarity with cryptographic protocols (ZK-SNARKs, STARKs, MPC, TEEs)
• Experience with secure multiparty workflows, decentralized compute protocols, or Layer 1/2 design
• Familiarity with Earth observation, spatiotemporal simulations, or high-throughput inference systems
• Background in formal methods, protocol design, or infrastructure specification languages is a plus
• Strong capacity to work across disciplines—engineering, AI safety, climate modeling, and public infrastructure
• Comfort operating in multi-institutional, high-trust, and technically rigorous environments

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Your Role in the Project

You will be part of a compact founding team of senior systems architects, working closely with cryptographers, protocol designers, scientific simulation experts, and Earth system scientists to:

• Co-author system specifications and protocol blueprints
• Run architectural risk assessments for clause-governed inference and sovereign node deployments
• Review zero-trust compute topologies and develop testbeds for agentic AI enforcement
• Serve as a steward of interoperability: ensuring that all layers are portable, secure, and protocol-compliant