AI Solutions Architect

6 days ago


Milwaukee, Wisconsin, United States KOHLER Full time
About the Role

We are seeking an experienced Artificial Intelligence Architect to join our team at Kohler. As a key member of our organization, you will be responsible for designing, developing, and implementing end-to-end data science and machine learning solutions.

Key Responsibilities
  • Solution Design: Design and develop end-to-end AI solutions that address specific business problems in finance, marketing, supply chain, and digital experiences.
  • Technical Leadership: Provide technical expertise and guidance to AI data scientists, ensuring alignment with coding standards, industry-standard algorithms, and architectural principles.
  • System Architecture: Define the overall architecture of AI systems, including data pipelines, model training, inference engines, and integration with existing IT infrastructure.
  • Model Development: Oversee the development and optimization of machine learning models, ensuring high performance, scalability, and interpretability.
  • Technology Evaluation: Evaluate new AI technologies, tools, and frameworks to recommend the most suitable options for specific use cases and project requirements.
  • Collaboration: Partner with product managers to decide on fit-for-purpose model architectures that serve business use cases and contribute to the product roadmap development.
  • Cross-Functional Collaboration: Work closely with cross-functional teams, including subject matter experts, data scientists, data engineers, and software developers, to integrate AI capabilities into various applications and processes.
  • GenAI Solution Design: Utilize expertise in GenAI frameworks to architect scalable, efficient, and high-performance AI solutions that leverage the latest advancements in the field.
  • MLOps and AI Ops Implementation: Implement MLOps and AI Ops practices to streamline the machine learning and LLM lifecycle, including version control, automation, CI/CD pipelines, and monitoring for AI models.
  • Research and Development: Stay abreast of industry trends, emerging technologies, and research breakthroughs to continuously enhance the performance and capabilities of AI solutions.
  • Performance and Cost Optimization: Optimize AI models for speed, accuracy, and efficiency through techniques such as hyperparameter tuning, model compression, and deployment optimizations.
  • Security and Compliance: Ensure that AI systems developed adhere to data protection regulations, security protocols, and ethical standards in AI development and deployment.
Requirements
  • Education: Master's degree in data science, artificial intelligence, machine learning, or a related field. A Ph.D. is a plus.
  • Experience: 8-10 years of active statistics/engineering/machine learning/AI experience with proven experience as an AI architect, data scientist, or machine learning engineer, with a focus on GenAI technologies and MLOps practices.
  • Skills: Proficiency in programming languages such as R, Python/Pyspark or Scala and hands-on experience with AI frameworks like TensorFlow, PyTorch, and GenAI-specific frameworks like RAG frameworks.
  • Certifications: Certifications in AI, machine learning, or GenAI platforms are preferred.
About Kohler

We empower each associate to with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we're driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives.



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