Resmed is seeking a Machine Learning Product Architect to define, scale, and guide the architectural vision for their AI, ML, and GenAI products, shaping how intelligent systems are designed, delivered, and scaled across the business to meet evolving customer needs and advance their platform with AI-native capabilities.
Requirements
- 8+ years of relevant experience with strong exposure to production-deployed AI/ML systems.
- Proven success in scaling AI/ML and GenAI architectures from concept to production.
- Deep understanding of ML algorithms, GenAI architectures (LLMs, embeddings, RAG, Agentic), and LLM pipeline workflows.
- Strong coding proficiency in Python (additional languages a plus).
- Knowledge of modern software architecture principles and design patterns.
- Certifications in cloud architecture or ML/GenAI technologies (preferred).
Responsibilities
- Architect scalable ML and GenAI solutions across model training, inference, and workflow AI automation, ensuring seamless integration across products.
- Partner with product managers to translate business goals into AI-driven technical solutions that deliver measurable impact.
- Deliver solutions that balance enterprise standards with bespoke innovation, combining platforms and models to meet both organizational and market needs.
- Act as a strategic architect, focusing two-thirds on strategic direction and solution design, and one-third on initiative deep dives, team mentorship, and execution acceleration.
- Lead the creation of Architectural References to demonstrate scalable approaches, reference patterns, and best practices.
- Provide leadership in MLOps and GenAI infrastructure — model versioning, monitoring, CI/CD pipelines, and deployment frameworks.
- Collaborate with data scientists and ML engineers to ensure architectures meet the unique needs of different model types (ML, DL, GenAI, multi-modal).
Other
- This is a senior, highly visible role that sits at the intersection of product strategy, technical architecture, and applied machine learning.
- While you won’t directly manage a team, you will serve as a senior partner across engineering, product, and clinical organizations — helping set direction, unlock execution, and scale AI/ML impact across our platforms.
- This role is for someone who thrives in ambiguity, believes architecture is a team sport, and has a proven record of bringing ML and GenAI-driven systems into production at scale.
- Strong communication and influencing skills to engage technical and non-technical stakeholders.
- Portfolio showcasing production-deployed ML/GenAI systems with business impact.
