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AI-Driven Solutions Architect

3 weeks ago

Sydney, New South Wales, Australia beBeeProductivity Full time $155,399 - $243,499
Leadership Engineer

We are seeking a seasoned leadership engineer to spearhead our AI-first engineering approach for accelerating the delivery of digital products and revolutionizing platform modernization.

About Us

We've reinvented the software development life cycle to be AI First, generating 95% of the entire product - code, documentation, infrastructure as code, and even design - with GitHub Copilot. This results in consistently high-quality output that exceeds traditional engineering teams.

Your Role

  1. Lead multi-disciplinary engineering and product teams delivering AI-driven, cloud-native, and DevSecOps-enabled solutions at scale.
  2. Shape technical strategy - guiding clients through transformative adoption of fully AI-driven delivery models.
  3. Conduct technical analysis, define solution architectures, and facilitate client workshops to define project technical approaches.
  4. Implement best practices - from product repository artefacts to AI prompt libraries for coding standards, architecture, and security compliance.

You will also:

  1. Upskill and coach client teams in AI-driven ways of working and embed them in their culture.
  2. Guide organisations in scaling AI adoption - creating strategies and frameworks for enterprise-wide implementation.
  3. Drive productivity and quality - leveraging AI to generate the majority of artefacts while enforcing rigorous review and validation processes.
  4. Foster AI-first engineering culture - mentoring teams to master AI-first ways of working across research, design, prototyping, backlog creation and code generation.

Requirements

  • Proven leadership in engineering or technical consulting roles, ideally in cloud-native, DevOps, and AI-driven environments.
  • Strong background in software engineering, systems design, and architecture.
  • Hands-on experience with AI coding assistants (e.g. GitHub Copilot) and prompt engineering best practices.
  • Passion for AI in product engineering and a drive to continuously reinvent how we deliver products by harnessing the latest AI capabilities.