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Full timeTechnology

AI Architect

FivecastAdelaide, Adelaide🇦🇺Australia

Why this role stands out

Advance your career at Fivecast by architecting cutting-edge generative AI solutions within a collaborative, innovative team that values technical excellence and professional mentorship. This hybrid role is perfect for a seasoned engineer ready to make a high-impact contribution to enterprise-grade software while enjoying the flexibility of a modern work environment. Apply today to lead the future of AI integration and elevate your expertise in cloud-native system design.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationAdelaide, Adelaide, Australia
GCPSpringAWSReact

Job description

About the Role

We are seeking an experiencedAIArchitectto lead the design and integration of advancedAI capabilities into enterprise-grade software solutions. This role involvesarchitecting scalable systems and guiding development teams to deliver cutting-edgeAI-driven applications for a large web-based platform.

Key Responsibilities
  • ArchitectAISolutions: Oversee the implementation ofAIfeatures within software products, including generative and agenticAI.
  • System Design & Integration: Scope and designAIcomponents that integrate seamlessly with existing software stacks.
  • Technical Leadership: Establish best practices and mentor engineering teams
  • Cloud Deployment:Architectscalable,AI-enabled features for cloud native environments (e.g., AWS, GCP).
  • Collaboration: Work closely with product and data science teams to ensureAIsolutions align with business objectives and compliance requirements.
  • SupportAIEvaluations:EnsureAIarchitectures support evaluation and continuous monitoring to meet accuracy, and reliability standards.
Requirements
  • Australian Citizenship(mandatory for NV1 defence clearance eligibility).
  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • 10+ yearsin software engineering or technology development, withsignificant experience inAIarchitecture and implementation.
  • Proven track record in designing and deploying generativeAIand agenticAIsolutions.
  • Strong understanding of software engineering principles, data storage, and cloudarchitecture.
  • Excellent leadership, problem-solving, and communication skills, including technical documentation (e.g., UML).
  • Familiarity with web technologies and frameworks (React, Spring) is advantageous.

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