Senior AI Architect — Cloud‑Native Generative AI Leader

Fivecast; Adelaide; Presencial; AUD 180 000 - 260 000; Tempo integral

Resumo da oferta

Fivecast is seeking an experienced AI Architect to lead the design and integration of advanced AI capabilities into enterprise-grade software solutions. This role involves architecting scalable systems and guiding development teams to deliver cutting-edge AI-driven applications for a large web-based platform.

Key responsibilities include overseeing AI solution implementation, designing AI components, providing technical leadership, deploying AI features in cloud-native environments (AWS, GCP),

Qualificações

• 10+ years in software engineering or technology development with significant AI architecture experience.
• Proven track record in designing and deploying generative and agentic AI solutions.
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Australian Citizenship mandatory for NV1 defence clearance eligibility.

Responsabilidades

• Architect AI solutions and oversee AI features within software products.
• Design and integrate AI components with existing software stacks.
• Provide technical leadership and mentorship to engineering teams.
• Architect scalable, AI-enabled cloud features for AWS and GCP.
• Collaborate with product and data science teams to ensure alignment with business goals and compliance.
• Support AI evaluations to ensure accuracy, reliability, and monitoring.

Conhecimentos

AI architecture

Cloud architecture

Leadership

Communication

UML documentation

Software engineering

React

Spring

Formação académica

Bachelor’s degree in Computer Science or related

Ferramentas

AWS

GCP

Descrição da oferta de emprego

Fivecast is seeking an experienced AI Architect to lead the design and integration of advanced AI capabilities into enterprise-grade software solutions. This role involves architecting scalable systems and guiding development teams to deliver cutting-edge AI-driven applications for a large web-based platform.

Key responsibilities include overseeing AI solution implementation, designing AI components, providing technical leadership, deploying AI features in cloud-native environments (AWS, GCP),