Resmed
About The Job
We are seeking a Machine Learning Product Architect to define, scale, and guide the architectural vision for our AI, ML, and GenAI products. This senior, highly visible role sits at the intersection of product strategy, technical architecture, and applied machine learning, shaping how we design, deliver, and scale intelligent systems across our business. 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. 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). Evangelize and promote AI/ML adoption across the organization, serving as a trusted advisor and visible champion of production-ready AI. Evaluate emerging AI, GenAI, and cloud-native technologies; make recommendations for adoption at scale. Define, collaborate and implement governance, compliance, and security strategies for responsible AI use, ensuring adherence to regulatory and ethical standards. Optimize ML and GenAI workloads for performance, reliability, and cost efficiency. Serve as the technology scout, evaluating and integrating emerging AI/ML tools and methodologies to evolve our tech stack strategically. Qualifications And Experience
Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field. 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. Strong communication and influencing skills to engage technical and non-technical stakeholders. Certifications in cloud architecture or ML/GenAI technologies (preferred). Portfolio showcasing production-deployed ML/GenAI systems with business impact. What You Can Expect
A supportive environment that focuses on people’s development and best implementation. The opportunity to evangelize AI across healthcare and directly influence its adoption. Exposure to inclusive global teams, with open collaboration and idea sharing. We want your ideas! Be supported both inside and outside of the work environment. The opportunity to build something that matters and see your work improve outcomes at scale. Dream big, iterate and experiment to drive innovation. Why Join Us
At Resmed, you’ll be part of a mission‑driven company focused on improving health and quality of life. This role offers high visibility, the chance to learn from senior leaders, and the opportunity to shape how Resmed shows up across global markets. You’ll grow your skills in brand strategy, cross‑functional collaboration, and brand governance at scale. We offer competitive salaries, comprehensive benefits, flexible work arrangements, and a culture that supports personal and professional growth. Apply now and help us build a healthier world.
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We are seeking a Machine Learning Product Architect to define, scale, and guide the architectural vision for our AI, ML, and GenAI products. This senior, highly visible role sits at the intersection of product strategy, technical architecture, and applied machine learning, shaping how we design, deliver, and scale intelligent systems across our business. 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. 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). Evangelize and promote AI/ML adoption across the organization, serving as a trusted advisor and visible champion of production-ready AI. Evaluate emerging AI, GenAI, and cloud-native technologies; make recommendations for adoption at scale. Define, collaborate and implement governance, compliance, and security strategies for responsible AI use, ensuring adherence to regulatory and ethical standards. Optimize ML and GenAI workloads for performance, reliability, and cost efficiency. Serve as the technology scout, evaluating and integrating emerging AI/ML tools and methodologies to evolve our tech stack strategically. Qualifications And Experience
Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field. 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. Strong communication and influencing skills to engage technical and non-technical stakeholders. Certifications in cloud architecture or ML/GenAI technologies (preferred). Portfolio showcasing production-deployed ML/GenAI systems with business impact. What You Can Expect
A supportive environment that focuses on people’s development and best implementation. The opportunity to evangelize AI across healthcare and directly influence its adoption. Exposure to inclusive global teams, with open collaboration and idea sharing. We want your ideas! Be supported both inside and outside of the work environment. The opportunity to build something that matters and see your work improve outcomes at scale. Dream big, iterate and experiment to drive innovation. Why Join Us
At Resmed, you’ll be part of a mission‑driven company focused on improving health and quality of life. This role offers high visibility, the chance to learn from senior leaders, and the opportunity to shape how Resmed shows up across global markets. You’ll grow your skills in brand strategy, cross‑functional collaboration, and brand governance at scale. We offer competitive salaries, comprehensive benefits, flexible work arrangements, and a culture that supports personal and professional growth. Apply now and help us build a healthier world.
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