Interdisciplinary AI Systems Architect

Interdisciplinary AI Systems Architect

Aurora Ethica is a self-funded, non-profit initiative developing a new computational trust layer for AI systems using Inter Dimensional Computation™ (IDC™) — where ethics, transparency, robustness, and learning are intrinsic to the architecture itself.

This is not about optimizing models. It’s about architecting the infrastructure ethical AI will run on.

Our goal is to demonstrate a working MVP trust substrate — and in doing so unlock the foundations of a future ethical AI economy projected to exceed $1.6T by 2030 across governance, healthcare, finance, climate systems, and digital infrastructure.

What we’re building

• Embeds ethical guardrails directly into computation
• Learns continuously through time and context
• Is transparent and auditable by design
• Is resilient, robust, and failure-aware
• Treats UX and aesthetics as part of system intelligence

Think: systems architecture × AI × trust infrastructure × human-centered design.

Who we’re looking for

A true builder–architect who can:

• Translate abstract frameworks into working systems
• Design for robustness, resilience, and long-term learning
• Think across AI, infrastructure, data flows, and ethics
• Value aesthetics and UX as technical primitives
• Enjoy building entirely new paradigms

Useful backgrounds (not mandatory)

• Systems engineering / distributed systems
• AI/ML with architectural depth
• Security, auditability, trust systems
• UX + technical design
• Ethics/philosophy applied to computation

Structure

This is a voluntary founding contributor role within a non-profit — currently self-funded — with clear intent toward:

• Core team leadership
• Long-term upside & recognition
• Thought leadership in ethical AI infrastructure
• Building something that will shape how intelligent systems operate globally

Interested?

DM or comment with:

• What you’ve built
• Why trust should be architectural, not patched on
• What kind of future you want AI to serve

Let’s build the substrate the future runs on.

Key skills/competency

• AI Systems Architecture
• Computational Trust Layer
• Ethical AI
• Distributed Systems
• Human-Centered Design
• Robustness Engineering
• System Resilience
• Data Flow Architecture
• Technical Design
• UX as System Intelligence