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DG
Dollar General
SR DIRECTOR, AGENTIC SYSTEMS
Career Insights for Artificial Intelligence Engineer (General)
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$130,326 / year median in Tennessee
Job Description
Work Where You Matter At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive. Company Overview This role exists to design, build, and scale Dollar General's enterprise agentic AI capabilities that transform workflows, decision-making, and employee productivity. The Senior Director owns the strategy, platforms, and execution of agentic systems that combine LLMs, tools, workflows, and enterprise data into reliable, governed, outcome-driven solutions. This leader ensures agentic AI is safely operationalized at scale with measurable business value. Job Details Duties and Responsibilities Define and lead enterprise strategy for agentic AI systems, including autonomous workflows, copilots, and decision-support agents Build and scale teams responsible for agent frameworks, orchestration layers, tool integration, and runtime governance Own end-to-end lifecycle of agentic systems from use-case design through deployment, monitoring, and continuous improvement Partner with business, IT, security, legal, and HR to embed agents into core workflows responsibly and compliantly Establish standards for agent reliability, evaluation, safety, auditability, and value realization. Knowledge, Skills, and Abilities (KSAs) 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 Qualifications Work Expereince and/or Education Bachelor's degree in Computer Science, Engineering, or related technical field Advanced degree in AI, Computer Science, or related discipline preferred 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