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Principle AI Architect
1 month ago
Principal AI Architect – Thought Leader "Productionised" Gen AI - Melbourne - Hybrid
Tech and Data People are working with a company who are recognised as being an employer of choice for Victoria. With an enviable culture and working environment, we are looking for a Principal AI Architect – thought leader to lead and drive AI adoption across various teams focused on Customer needs and enhancements.
You'll play a crucial role as a visionary Thought Leader in Data and AI to shape the future of data and AI within this organisation. This role is responsible for crafting and delivering scalable architectures that revolutionize how businesses leverage data and AI to drive measurable impact.
What we are looking for:
- Defining and communicating a compelling vision for data and AI, inspiring teams and stakeholders.
- Develop innovative use cases, prototypes, and scalable architectures to drive business growth.
- Establish and execute a data strategy that treats data as a first-class product.
- Collaborate with technology teams to develop customer-centric solutions that maximise value.
- Engage with industry partners and vendors to integrate cutting-edge AI and data capabilities.
- Lead initiatives exploring AI and data-driven opportunities, ensuring alignment with business objectives.
- Translate architectural vision into action, co-developing prototypes and early implementations.
- Advocate for high-quality, well-managed data systems that meet usability and security standards.
- Partner with senior stakeholders to communicate the value of AI and data initiatives through effective storytelling and presentations.
- Foster a culture of experimentation and agility, enabling rapid adaptation to market changes.
- Extensive experience in Data and AI architecture, delivering impactful, scalable solutions.
- Proficiency in platforms such as Snowflake, dbt, AWS, SageMaker, and gen AI methodologies.
- Strong commercial acumen, aligning technical innovation with business objectives.
- Excellent communication and stakeholder management skills, with the ability to lead through influence.
- Adaptability to dynamic environments, championing rapid prototyping and iterative experimentation.
- Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent experience).
- Relevant certifications (e.g., AWS Certified Solutions Architect, Snowflake) are advantageous.
If you're interested in discussing this opportunity further or would like a more general chat about your career in Data, get in touch and we can arrange a time.
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