SoftwareOne and Crayon have come together to form a global, AI-powered software and cloud solutions provider with a bold vision for the future. With a footprint in over 70 countries and a diverse team of 13,000+ professionals, we offer unparalleled opportunities for talent to grow, make an impact, and shape the future of technology. At the heart of our business is our people. We empower our teams to work across borders, innovate fearlessly, and continuously develop their skills through world-class learning and development programs. Whether you're passionate about cloud, software, data, AI, or building meaningful client relationships, you’ll find a place to thrive here. Join us and be part of a purpose-driven culture where your ideas matter, your growth is supported, and your career can go global.
The role
Key Responsibilities
- Lead customer engagements from problem discovery to deployed AI solutions, acting as the senior technical counterpart
- Translate complex business challenges into pragmatic, agentic AI systems (e.g. tool-using, multi-step AI workflows interacting with external systems) operating over text, speech, and/or video data, depending on customer use case
- Design, build, and deploy production-grade AI systems in real customer environments
- Develop and maintain high-quality production code, integrating models and agents into customer platforms (cloud or on‑premises)
- Architect, build, and operate end-to-end AI systems, including monitoring and iteration in production
- Design and operate agent-based systems, including orchestration, tool use, and interaction with external systems
- Validate and communicate both technical performance and business value to customer stakeholders
- Turn prototypes into robust, scalable solutions, balancing speed, quality, and maintainability
- Set technical direction on projects and act as a role model for engineering and AI best practices
- Mentor and support less experienced engineers, raising the overall delivery standard
What we need to see from you
- Experience in relevant industry or academic environments with Strong, hands-on experience delivering AI systems into production, ideally in customer-facing environments
- Advanced proficiency in Python, or a comparable systems or application language (e.g. Rust, Go, or similar)
- Practical experience with modern ML and AI frameworks (e.g. PyTorch, Hugging Face, or equivalent)
- Solid understanding of AI/ML lifecycles, including training, deployment, monitoring, and iteration
- Strong software engineering fundamentals: data structures, data modelling, and system architecture
- Experience operating or supporting AI systems at scale in production
Job Function
Services
Accommodations
- Locations
- North Sydney, Sydney, New South Wales, Australia · Melbourne, Victoria, Australia · Perth, Western Australia, Australia · Brisbane, Queensland, Australia