AI & Cognitive Systems
Principal AI Systems Architect
Remote (Global) / Hybrid · Principal
Architect governed autonomous AI agent execution frameworks, virtual inference brokering protocols, and memory-augmented reasoning graphs for enterprise environments.
Responsibilities
- Architect cryptographic virtual inference brokers that enforce hard financial spend caps and strip API secrets
- Design multi-layered agent memory architectures combining fast working sets with Graph RAG and vector indices
- Build resilient multi-provider model adapters supporting Anthropic, OpenAI, DeepSeek, and high-throughput local engines
- Implement sandboxed execution environments with path traversal guards and automated checkpoint rollback
Requirements
- 7+ years of experience in backend architecture and AI platform engineering
- Demonstrated expertise in LLM orchestration, agentic loops, prompt evaluation, and spend governance
- Deep knowledge of cryptographic identity standards (Ed25519, JWT, HMAC) and API security
- Commitment to safe, deterministic AI systems with zero black-box dependencies
Stack
- Python
- Go
- FastAPI
- Neo4j
- Anthropic Claude
- OpenAI
- vLLM
- Sandboxing