MillerKnoll

Director, Lean AI

MillerKnoll

full-time

Posted on:

Location Type: Office

Location: Chicago • Illinois, Missouri • 🇺🇸 United States

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Salary

💰 $160,000 - $175,000 per year

Job Level

Lead

Tech Stack

AWSCloudKafkaMicroservicesPyTorchTensorflow

About the role

  • 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, mentor, and grow a team of ML/AI and GenAI engineers and data scientists
  • Collaborate with enterprise architects, data engineers, product teams, and business process leaders to align initiatives with enterprise priorities
  • Promote responsible AI practices, ensuring security, ethics, and compliance
  • Lead the design, development, and deployment of AI/ML solutions and oversee creation of reusable frameworks and accelerators
  • Ensure solutions move from prototype to production with enterprise-grade MLOps/LLMOps practices
  • Drive integration of AI capabilities into adjacent enterprise systems and workflows (Snowflake, Salesforce, Infor-LN, Jira)
  • Establish ML/AI architectural standards and best practices for cloud-native, distributed, event-driven environments
  • Stay ahead of emerging AI/GenAI tools, frameworks, and ecosystem innovations

Requirements

  • Bachelor's or master's degree in computer science, Engineering, or a related technical field
  • 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
  • Strong leadership and people development skills
  • Excellent communication and storytelling skills across technical and business audiences
  • Commitment to responsible AI practices, security, and compliance
Benefits
  • Medical
  • Prescription Drug
  • Dental
  • Vision
  • Health Savings Account
  • Dependent Day Care Savings Account
  • Life Insurance
  • Disability and Other Insurance Plans
  • Paid Time Off (including Vacation and Parental Leave)
  • Holidays
  • 401(k)
  • Short/Long Term Disability
  • Geographic premium (may be eligible)
  • Annual discretionary incentive (may be eligible)
  • Equity awards (may be eligible)
  • Other special perks reserved for our associates

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ML/AIGenAIMLOpsLLMOpscloud-native frameworksdata pipelinesdistributed data systemsML/AI frameworksCI/CD for AImodel lifecycle management
Soft skills
leadershippeople developmentcommunicationstorytelling
Certifications
Bachelor's degreeMaster's degree