MillerKnoll is seeking a leader to shape the future of AI adoption at enterprise scale, focusing on practical, responsible AI integration to reduce human struggle, avoid complexity, and embed AI into enterprise systems, processes, and experiences.
Requirements
- 10–12 years in software engineering or architecture, with a strong focus on modern cloud-native frameworks (AWS preferred).
- 4+ years of practical ML/AI experience, including developing and deploying models into production environments.
- Proven track record of integrating ML/AI solutions into enterprise business processes and systems.
- Expertise in enterprise-scale data pipelines, distributed data systems, and modern data platforms (Snowflake, Kafka, microservices, event-driven patterns).
- Hands-on knowledge of ML/AI frameworks (e.g., PyTorch, TensorFlow, RAG, vector databases, Transformers, LangChain, LLM APIs).
- Strong understanding of MLOps/LLMOps practices, CI/CD for AI, monitoring, and model lifecycle management.
Responsibilities
- Define and execute the Lean-AI Program vision, balancing rapid innovation with enterprise stability.
- Establish enterprise-ready patterns for GenAI and applied AI adoption (e.g., reusable prompts, orchestration frameworks, microservices).
- Lead the design, development, and deployment of AI/ML solutions.
- Oversee the creation of reusable frameworks, accelerators, and patterns for efficient Lean-AI delivery.
- Ensure solutions move seamlessly from prototype to production with enterprise-grade MLOps/LLMOps practices.
- Establish ML/AI architectural standards and best practices for deploying AI within a modern cloud-native environment.
- Leverage cloud-native services (AWS preferred) to deliver distributed, event-driven architectures.
Other
- Lead, mentor, and grow a team of ML/AI and GenAI engineers and data scientists.
- Collaborate with enterprise architects, data engineers, digital product teams, and business process leaders to align Lean-AI initiatives with enterprise priorities.
- Promote responsible AI practices, ensuring security, ethics, and compliance.
- Strong leadership and people development skills.
- Strategic thinker with the ability to execute.
