Manager, Agentic Systems Engineering

About the role

You’ll lead a team building AI agents that are already live and delivering measurable impact — thousands of hours reclaimed across the organization. This isn’t a research project. These agents handle real workloads, and you’ll be shipping improvements weekly. Direct visibility to senior leadership and the autonomy to shape the technical direction of the agentic platform.

What you'll do

• Own and execute: Drive the roadmap, execution, and delivery of multiple agentic systems across support automation, QA automation, documentation generation
• You are accountable for shipping production-quality agents on schedule
• Architect agentic systems: Design multi-agent architectures involving LLM orchestration, tool-calling, retrieval-augmented generation (RAG), structured output parsing
• Drive reliability and quality: Move beyond "it works in a demo." Own the iterative refinement of agent accuracy, hallucination detection, output validation
• Define quality measurement frameworks, build observability and monitoring into every agent, and establish feedback loops that drive continuous improvement

What you need

• Python
• Prompt engineering
• Data privacy
• System design
• Design systems
• LLMs

Good to have

• JIRA
• Salesforce
• Confluence