AI Solutions Architect

7 hours ago

Melbourne, Victoria, Australia beBeeArchitect Full time $200,000 - $300,000
About the Role

We are seeking an exceptional AI Solutions Architect to lead our team in developing cutting-edge artificial intelligence solutions. This role requires a strong technical background, excellent communication skills, and experience in designing and implementing large-scale AI systems.

As an AI Solutions Architect, you will be responsible for overseeing the solution architecture and design of AI-powered systems across our organization. You will work closely with cross-functional teams to develop intelligent software solutions using agile development practices.

Your primary focus will be on aligning technical strategies across Engineering Managers and Senior Engineering Managers, influencing the direction for multiple squads. You will also champion the adoption of machine learning, deep learning, and foundation models to drive innovation, automation, and consumer impact.

Key Responsibilities
  • Define a clear technology strategy for your area through collaboration with Architects, Directors of Engineering, and Engineering Managers.
  • Partner with Engineering Managers to ensure that technical solutions, including AI/ML systems, are delivered in alignment with the strategy.
  • Develop and drive actionable plans to improve the health of systems in your area, including AI model performance, infrastructure, and data quality.
  • Promote exploration of emerging technologies, including Generative AI, foundation models, and ML operations, to maintain our technology strength and relevance.
  • Design high-quality, user-centric, cross-squad solutions, leveraging AI/ML capabilities where appropriate, in collaboration with diverse stakeholders.
Requirements
  • Extensive experience providing technology leadership to engineering teams, along with strategic and architectural guidance across complex systems.
  • Strong track record in developing long-term architectural strategies, particularly in AI/ML-enabled platforms.
  • Highly proficient in modern cloud technologies and microservices-based design.
  • Deep expertise in machine learning, with growing experience in Generative AI, large language models, and emerging AI techniques.
  • Proven experience in mentoring and nurturing experienced engineers, fostering a high-performing culture of continuous learning, experimentation, and technical excellence.
Benefits
  • A hybrid and flexible approach to working.
  • Flexible leave options, including birthday leave and purchase additional leave.
  • Flexible parental leave offering for primary and secondary carers.
  • A comprehensive wellbeing program.

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