Description
Duties and Responsibilities:
- Define and lead enterprise strategy for agentic AI systems, inclduding 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%)
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
Work Experience and 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
- Experience with large-scale enterprise transformation or automation initiatives preferred
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