Lumentum is seeking a Director of Enterprise AI to lead the company's AI transformation journey, shaping and executing an enterprise-wide AI strategy aligned with business priorities and value realization.
Requirements
- Expertise in CNNs and Visual AI applications, especially for inspection, classification, and defect detection.
- Proficiency in leading AI/ML platforms such as TensorFlow, PyTorch, and emerging generative AI ecosystems.
- Strong understanding of AI governance, ethical AI, and value-led digital transformation.
- Prior work with enterprise knowledge management, internal GPT implementations, or AI-driven operational excellence.
Responsibilities
- Oversee the architecture and deployment of AI/ML solutions with a strong emphasis on Visual AI, CNN-based image inspection, predictive analytics, and custom GPT frameworks.
- Drive integration of GenAI solutions (e.g., ChatGPT) into business workflows by connecting them with internal knowledge repositories.
- Establish scalable AI infrastructure and pipelines, including CI/CD for ML models, monitoring, retraining, and explainability.
- Collaborate with R&D, manufacturing, supply chain, and customer operations to embed AI into products, infrastructure, and processes.
- Define and implement an enterprise-wide AI roadmap focused on efficiency, innovation, and decision-making quality.
- Lead AI initiatives using Lumentum’s use case prioritization framework with measurable benefits in financial impact, customer experience, and risk reduction.
- Develop AI investment frameworks, governance models, and risk management policies consistent with a $5M+ multi-year roadmap.
Other
- 5+ years of experience in AI/ML, including 3+ years in enterprise leadership roles.
- Serve as the primary internal champion for AI innovation, fostering collaboration and knowledge sharing across business units.
- Shape the structure, strategy, and success of Lumentum’s enterprise AI efforts.
- Collaborate across functions to unlock value in innovation, efficiency, and strategic decision-making.
- Experience in semiconductor, photonics, or advanced manufacturing sectors.
