GenAI Solutions Engineer Jobs

Magentus

Location:
Australia

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Be part of shaping the future of healthcare with AI. We’re at the beginning of an exciting transformation and you could help lead the way. We’re building new product experiences powered by AI to address real problems faced by healthcare professionals—and we believe these experiences will not only enhance our core offerings but unlock new opportunities. We’re hiring an AI Engineer to be responsible for designing, developing, and deploying machine learning and AI solutions across our healthcare product portfolio to help deliver against our AI and business strategy. This is a greenfield opportunity for someone who thrives in ambiguity, is energised by building from scratch, and wants to drive meaningful change in the healthcare sector—an industry that is only just beginning to explore the possibilities of AI at scale.

Job Responsibility:

Develop AI-Powered Solutions: Design, build, and implement end-to-end solutions using Generative AI to address key business challenges, with a focus on intelligent data transformation and business process automation
Engineer Data-Centric Workflows: Architect and maintain scalable, robust workflows that ingest, process, and enrich complex data by applying AI and machine learning models
Oversee Application Lifecycle & Deployment: Own the full lifecycle of AI applications, from prototyping and development to deployment, scaling, and production management in a multi-cloud environment (AWS and GCP)
Ensure Solution Quality and Reliability: Establish and govern frameworks for validating the output of AI systems, defining and tracking metrics to ensure high standards of accuracy, reliability, and safety are consistently met
Drive AI Best Practices: Implement and manage MLOps/LLMOps principles to ensure version control, reproducibility, and continuous monitoring of deployed applications
Support knowledge-sharing and mentorship efforts within the team and across departments

Requirements:

Minimum of 3-4 years of experience in a software or data engineering role
At least 1-2 years of focused, hands-on experience building with LLMs or Generative AI
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
Proficiency in Python and relevant libraries (e.g., Pandas, Pydantic) for data manipulation and processing
Experience with major cloud provider’s AI/ML offerings (AWS Sagemaker, Google Cloud AI Platform)
Solid understanding of algorithms, data structures, and software engineering fundamentals
Experience working in a collaborative software development environment using Git and agile methodologies

Nice to have:

Strong problem-solving skills with a passion for tackling complex technical challenges
Excellent communication skills—able to bring people on the journey and confidently engage technical, commercial, and clinical stakeholders
Self-motivated and able to work independently, as well as collaboratively in a team environment
Adaptable and open to learning new technologies and methodologies
A proactive approach to identifying opportunities for improvement and innovation
Proven ability to mentor and motivate teams
A proactive ‘builder’s mindset’ and a genuine passion for technology, often demonstrated through personal projects, open-source contributions, or self-directed experimentation

What we offer:

A chance to lead a flagship strategic initiative with executive visibility and long-term impact
The opportunity to shape new-to-market AI experiences in the healthcare space—one of the most meaningful, complex, and impactful industries
A supportive product-led culture where discovery, user value, and cross-functional collaboration are at the core of how we build
The ability to influence product, platform, and business strategy across the Magentus group

Additional Information:

Job Posted:
December 10, 2025

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GenAI Solutions Engineer