Principal Architect
Core
Visionary anchor for an AI-native engineering organization, defining technical blueprints for building, validating, and scaling high-quality software where human intellect and autonomous agents collaborate.
Role type
Principal Architect (AI/Agentic Systems)
Builds
Foundational frameworks, multi-agent orchestration systems, and deterministic validation harnesses for enterprise AI agents.
Domain
Artificial Intelligence, Agentic Systems, Enterprise Software Engineering
Deliverable
production ML models | infrastructure
Required skills
Systems architecture, distributed systems design, LLM capabilities, cognitive architectures, reinforcement learning, Rust, Python, Go, C++, TypeScript, security governance, evaluation harness design
Preferred skills
Production-grade agentic workflows, context-window dynamics, RAG systems, fine-tuning paradigms, deterministic guardrails for probabilistic models, agentic identity and authorization systems
Technologies
LLMs, RAG, orchestration frameworks, AST parsers, CI/CD tools
Responsibilities
Architect the AI-Native Lifecycle, define technical vision and strategy, build infrastructure for agents, establish rigorous evaluation systems, pioneer technical taste, lead cross-functional alignment, mentor senior engineers
Seniority
Principal, strategy & mentorship
