What Good Looks Like:
- Agent teams can build faster because core infrastructure, standards, and patterns are already in place.
- Shared capabilities are designed with enough quality and reusability that multiple teams can adopt them without starting from scratch.
- Agent deployment becomes more reliable, supportable, and scalable across a growing set of business use cases.
On a Typical Day, You Might:
- Own the design and evolution of core capabilities within our internal AI agent platform to support high-impact business workflows and AI agents.
- Partner with business stakeholders to translate high-priority strategic goals into scalable AI agent solutions.
- Build and maintain shared services—such as reusable modules, integration layers, logging patterns, and data access approaches—that multiple teams can leverage.
The Ideal Candidate Will Bring:
- 5+ years of hands-on experience in software engineering, platform engineering, solutions engineering, infrastructure engineering, or a similar technical role.
- Strong ability to design and implement production-ready systems across APIs, services, integrations, and data flows.
- Practical experience working with AI-powered applications, agent architectures, LLM-based workflows, or adjacent systems.