Senior Director, Agentic Systems

Dollar General•Goodlettsville, TN

About The Position

Dollar General is seeking a Senior Director, Agentic Systems to define and lead the enterprise strategy for agentic AI systems. This role involves building and scaling teams responsible for agent frameworks, orchestration layers, tool integration, and runtime governance. The position owns the end-to-end lifecycle of agentic systems, from use-case design through deployment, monitoring, and continuous improvement. A key aspect of this role is partnering with business, IT, security, legal, and HR to embed agents into core workflows responsibly and compliantly, while also establishing standards for agent reliability, evaluation, safety, auditability, and value realization.

Requirements

  • Deep understanding of agentic AI architectures, LLM orchestration, and tool-augmented reasoning
  • Experience designing autonomous or semi-autonomous systems operating in enterprise environments
  • Strong grasp of workflow automation, decision intelligence, and human-in-the-loop system design
  • Proven ability to operationalize AI safely with governance, observability, and controls
  • Experience leading senior technical teams building platform-level AI capabilities
  • Strong executive communication and cross-functional influence skills
  • Ability to translate complex AI concepts into business-relevant outcomes
  • Experience integrating AI systems with enterprise applications and data platforms
  • Bachelor’s degree in Computer Science, Engineering, or related technical field
  • 10+ years of experience in AI, software platforms, or intelligent systems
  • 5+ years leading senior engineering or AI platform teams
  • Demonstrated experience delivering production AI systems embedded in business workflows

Nice To Haves

  • Advanced degree in AI, Computer Science, or related discipline preferred
  • Experience with large-scale enterprise transformation or automation initiatives preferred

Responsibilities

  • Define and lead enterprise strategy for agentic AI systems, including autonomous workflows, copilots, and decision-support agents (25%)
  • Build and scale teams responsible for agent frameworks, orchestration layers, tool integration, and runtime governance (20%)
  • Own end-to-end lifecycle of agentic systems from use-case design through deployment, monitoring, and continuous improvement (20%)
  • Partner with business, IT, security, legal, and HR to embed agents into core workflows responsibly and compliantly (20%)
  • Establish standards for agent reliability, evaluation, safety, auditability, and value realization. (15%)
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