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Ai solutions architect

Melbourne
beBeeAuthority
Architect
Posted: 17 August
Offer description

Job Overview

We are on a mission to revolutionize the delivery of world-class care. To achieve this, we need a skilled AI Engineer for our Model Platform team.

This role is ideal for a builder and visionary who can operate with high agency and drive impactful projects. As a key partner to our Engineering Manager and executive leadership, you will set the long-term technical vision for our AI infrastructure.

You will spearhead ambitious, 0-to-1 projects and act as a force multiplier for the entire engineering organization. Your work will be the gold standard that other engineers learn from.

The successful candidate will have a deep understanding of architecting, building, and shipping complex AI/ML platforms and products. You should be recognized as a technical authority in Python, cloud infrastructure (GCP or AWS), and distributed systems.

We believe in creating unconventional solutions to difficult problems and building them fast. We want you to set impossible goals and make them happen. You will be surrounded by a world-class team of engineers, medicos, and designers to do your best work.

We provide resources for personal development and flexible working environments. Our hybrid model allows you to balance work and personal life effectively.

We offer corporate rates at fitness centers and the chance to create a global impact as part of a leading healthtech startup.


Key Responsibilities

* Define Technical Vision: Own the long-term architectural roadmap for the Model Platform.

* Spearhead Strategic Initiatives: Lead complex and ambiguous technical projects from concept to production.

* Architect for Excellence: Design and write elegant, highly scalable, and reliable code for critical parts of our platform.

* Create Cross-Functional Synergy: Act as the primary technical liaison between teams, translating business strategy into clear technical strategy.

* Mentor and Elevate: Level up our engineering team by mentoring senior engineers and championing a culture of technical rigor and innovation.


Requirements

* Proven track record of architecting complex AI/ML platforms and products.

* Recognized technical authority in Python, cloud infrastructure (GCP or AWS), and distributed systems.

* Understanding of the LLM ecosystem, including GPU-level optimizations and advanced fine-tuning techniques.

* World-class communication and strategic skills, capable of articulating technical vision to engineers, product managers, and C-level executives.

* Founder-engineer mindset, blending high agency, strategic thinking, pragmatism, and drive to build impactful things.

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