The Senior AI Project Manager will lead AI initiatives and ensure effective integration of AI-driven solutions into business operations. Responsibilities include project planning, AI strategy implementation, stakeholder communication, risk management, model validation, and post-project evaluation.
About Us
Canibuild automates the residential construction industry’s design, approval, and sales processes, allowing clients to answer 'Can I build this on this plot of land?' instantly. As a fast-growing SaaS platform backed by Australia’s largest hedge fund, we serve clients across Australia, New Zealand, Canada, and the US.
Job Overview
The Senior AI Project Manager will lead AI initiatives at Canibuild, ensuring that AI-driven solutions are effectively integrated into business operations. This role requires a blend of technical expertise, project management proficiency, and strategic vision. The ideal candidate will have experience managing AI/ML projects, knowledge of MLOps, and a strong understanding of AI governance frameworks. The role will work closely with the COO and Head of IT/Engineering.
Key Responsibilities
- Project Planning & Execution: Define project scope, develop AI roadmaps, and manage resources.
- AI Strategy & Implementation: Align AI solutions with business objectives and oversee end-to-end implementation.
- Stakeholder Communication: Collaborate with cross-functional teams, including AI engineers and business leaders, to ensure transparency and goal alignment.
- Risk Management: Monitor AI bias, compliance with AI governance frameworks (e.g., GDPR, CCPA), and ethical AI considerations.
- Model Validation & Deployment: Oversee AI/ML model lifecycle, ensuring models meet performance, security, and compliance standards.
- Post-Project Evaluation: Assess project success, identify areas for improvement, and drive AI innovation.
- Bachelor’s or Master’s in Computer Science, AI, or related field.
- 7+ years in project management, with 3+ years in AI/ML projects.
- PMP or Agile certification preferred.
- Experience with MLOps tools (e.g., MLflow, Airflow, Weights & Biases).
- Understanding of AI governance and ethical AI principles.
- Strong leadership, problem-solving, and communication skills.
- Flexible remote work opportunities with career development opportunities
- Engagement with a supportive and collaborative global team
- Competitive market based salary
Top Skills
AI
Ml
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