Staff Software Engineer, AI/Agentic Systems
About the role
We are looking for a Senior Staff Engineer to lead the design, build, and adoption of AI-powered agentic systems across our Developer Experience platform. This is a highly technical, high-impact role at the intersection of platform engineering and applied AI.
Responsibilities
Agentic Execution Framework Architect and build the event-driven execution framework that enables agent-assisted workflows across delivery, operations, and policy systems (e.g., PR automation agents, CI failure triage, onboarding agents)
Design and implement human-in-the-loop approval queues, error handling, retry logic, and guardrail enforcement to ensure safe, auditable agent execution in a regulated enterprise environment
Define the execution contract — how agents are invoked, what permissions they hold, how outcomes are recorded — across all platform integrations
Claude Code Integration & Developer Evangelism Lead the platform-native integration of Claude Code into scaffold templates, CI failure triage, PR assist workflows, and the developer portal's 'what should I work on?' agent
Build and run an internal evangelism and adoption program for agentic development practices — demos, workshops, documentation, and a developer advocate community
Partner with engineering teams to identify high-value automation opportunities and convert them into governed, reusable agent workflows
Agent Registry & Lifecycle Design and build a governed catalog of approved agents — metadata, capabilities, trust boundaries, versioning, and usage policies — ensuring agents are discoverable, auditable, and compliant
Implement lifecycle management for agent versioning and permissions, including deployment pipeline integration, rollback, and decommissioning with full audit trails
Platform Security & Governance Define and enforce the security posture for agent execution: scoped permissions, least-privilege identity models, execution isolation, and immutable audit logging
Collaborate with security, compliance, and platform governance teams to ensure all agent execution meets enterprise policy requirements
Qualifications
10+ years of software engineering experience, with at least 3 years focused on platform engineering, developer tooling, or applied AI/ML systems
Track record of leading technically ambiguous, high-impact projects — from architecture through to production adoption — in a large engineering organization
Strong written and verbal communication skills; ability to translate complex technical concepts for both engineering and leadership audiences
Prior experience building internal developer platforms, golden-path tooling, or developer experience products is strongly preferred