Associate Director, Applied AI Engineering-PxE Workplace Experience
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Summary
Lead AI engineering for workplace-experience products, designing secure, scalable agentic systems and setting engineering standards for AI/ML delivery.
- Build secure scalable reliable AI and agentic products
- Collaborate with product engineering and executives
- Define and drive engineering KPIs and NFRs
- Define applied AI reference architectures and standards
- Design and review system architecture and code
- Drive iterative value delivery and empirical methods
- Establish coding standards and quality benchmarks
- Identify technical risks and mitigation strategies
- Implement AI and agent SSDLC from discovery to production
- Lead engineering roadmap and execution
- Lead orchestration of AI agent workflows
- Manage inference token and cloud cost
- Map business capabilities to enterprise technology landscape
- Mentor and develop engineers and leaders
- Reduce tech debt and improve engineering velocity
- Set applied AI engineering vision
