Chief Architect of Intelligent Systems

5 days ago

Melbourne, Victoria, Australia beBeeData Full time $180,000 - $220,000

Job Title: Director Of Data Strategy

Overview: We're seeking a visionary leader to join our Data and Intelligence team as Head of Technology. This key member of our technology leadership team will be responsible for architecting and leading the development of scalable, high-performance AI/ML and data solutions.

Key Responsibilities:

  • Lead domain-specific squads including software engineers, data engineers, ML engineers, data scientists, and UX designers
  • Ensure measurable business value from AI and data engineering efforts, aligning with corporate plan outcomes
  • Integrate AI solutions seamlessly into domain-specific applications and systems for efficient deployment
  • Establish best practices for software development, data engineering, and AI/ML model development
  • Implement and optimize automation for rapid and reliable deployments
  • Evaluate AI and data solutions for security and compliance requirements
  • Cultivate a culture of experimentation and continuous improvement, exploring new technologies and strategies
  • Make procurement decisions and implementing in-house builds or vendor solutions

Requirements:

  • Proven years of experience in AI/ML engineering, with a clear progression into management roles
  • Proven ability to design and architect complex scalable AI/ML systems and data pipelines
  • Software engineering with app development background – strong programming skills
  • Experience with GenAI and agentic workflows
  • Significant experience with cloud platforms (AWS, Azure, GCP)
  • A blend of software engineering and machine learning experience
  • Experience with cloud data platforms (Snowflake, DataBricks) and reporting tools (PowerBI)
  • Experience with MLOps practices (CI/CD, model monitoring, etc.)
  • Evidence of building AI models and integrating them into business workflows (API management, load management, integration, data security, logging etc)
  • Experience in complex corporate environments, retail experience preferred
  • Understanding of delivering under Agile methodology
  • Commercial Skills and Formal Qualifications
  • Proficiency in programming languages like Python, Java, or C++
  • Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
  • Knowledge of data engineering tools and technologies (Spark, Kafka, databases)
  • Cloud platform expertise
  • Leadership and team management skills
  • Good understanding of software architecture
  • Bachelor's or Master's Degree in Computer Science, Statistics, Maths, or a related field

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