Chief AI Engineering Director

4 days ago


Seattle, Washington, United States Ultimate Software Full time

Establish a leading role at Ultimate Kronos Group, a pioneer in workforce management and human capital solutions.

Overview

Ambitious individuals seeking to drive innovation in AI/ML engineering will find this position an exciting opportunity. As the Chief AI Engineering Director, you will oversee the development and implementation of AI-powered products that transform businesses worldwide.

Key Responsibilities
  • Leadership and Strategy: Develop and execute a comprehensive strategy for AI engineering, aligning with business objectives and driving growth through innovative solutions.
  • AI Architecture and Delivery: Design and deploy scalable, robust, and high-quality AI systems, ensuring seamless integration with existing infrastructure.
  • Cross-Functional Collaboration: Foster strong relationships with stakeholders, including data scientists, product managers, and directors, to ensure aligned goals and effective communication.
  • Agile Leadership: Lead high-performing teams in agile environments, prioritizing tasks, managing competing demands, and delivering high-quality results.
  • Technical Excellence: Promote best practices in software development, code quality, testing, and deployment, driving the adoption of modern engineering practices.
Requirements
  • Experience: 7-10 years of experience in software engineering, with at least 2-4 years in a leadership or management role, overseeing AI or machine learning teams.
  • Technical Skills: Proficiency in Python and ML frameworks such as PyTorch or TensorFlow, solid understanding of the software development lifecycle, object-oriented programming, concurrency, design patterns, RESTful services, and microservice architecture.
  • AI Tools and Cloud Technologies: Experience with cloud platforms (AWS, Google Cloud, Azure), with a focus on AI/ML deployment (e.g., VertexAI, GKE, BigQuery, Kubeflow, TensorFlow Serving).
  • Leadership and Collaboration: Strong people management and leadership skills, with experience leading cross-functional teams, mentoring engineers, and managing competing priorities.
  • Agile Experience: Strong understanding of agile methodologies, with experience leading teams in an agile environment.
Preferred Qualifications
  • Experience working with large language models (LLMs) or fine-tuning open-source models like GPT.
  • Familiarity with modern AI development tools, such as Jupyter notebooks, Kubernetes, Docker, and CI/CD pipelines.
  • Experience in high-compliance or enterprise-grade environments with a focus on AI ethics, privacy, and security.


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