Principal Agentic Systems Architect
Core
Defines and guides the architecture of enterprise agentic systems and AI-enabled engineering capabilities, designing reusable patterns for building, integrating, and operationalizing agents at scale.
Role type
Principal Agentic Systems Architect
Builds
Reusable architectures, engineering patterns, and isolated execution environments for AI agents and agentic workflows.
Domain
Enterprise AI / Agentic Systems / Cloud-Native Architecture
Deliverable
production ML models
Required skills
LLM-based application design, agent orchestration and tool calling, cloud-native architecture (Kubernetes, distributed systems), application security (IAM, secrets management), CI/CD and production engineering, Python/Java/Go programming
Preferred skills
Secure/regulated enterprise environment experience, enterprise coding-agent platforms, secure ephemeral execution environments, agent evaluation frameworks, multi-cloud integration
Technologies
Kubernetes, Python, Java, Go, MCP servers, agent frameworks
Responsibilities
Define reference architectures and reusable design patterns for agent development and orchestration; Set integration patterns for coding agents, MCP servers, and enterprise APIs; Architect isolated, ephemeral execution environments with identity and access controls; Establish engineering standards for the agent lifecycle including CI/CD, versioning, and testing; Define approaches for observability, failure handling, and production readiness; Guide engineering teams and resolve complex architectural challenges; Validate architectural decisions through prototypes and proofs of concept.
Seniority
Principal, strategy & mentorship
