Posted 21 July, 2026
Senior Forward Deployed AI Engineer
SoftwareOne
Brisbane,UNAVAILABLE,Australia,UNAVAILABLE
Full Time
Reference: 195_401560_29915_1730568962
Why SoftwareOne?
The role
What we need to see from you
Job Function
Services
Accommodations
SoftwareOne is a global provider of software and cloud solutions. With a presence in over 70 countries and more than 12,000 professionals, we help organizations optimize software investments, modernize applications, and unlock the value of cloud, data, and AI.
Our people are at the core of everything we do. We enable collaboration across borders, continuous learning, and opportunities to grow in a fast-evolving technology landscape. Whether your focus is on technology, customer success, or business operations, your ideas matter, and your contributions make a difference.
Join a global team where you can build your skills, work with leading technologies, and make a real impact for our customers.
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 onpremises)
- 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
SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at [email protected].
Please include the role for which you are applying and your country location. Someone from our organization that is not part of the decision-making process will be in touch to discuss your specific needs and we will make every effort to accommodate you. Any information shared will be stored securely and treated in the strictest of confidence in line with GDPR.
At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.
Qualifications:- 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
