{"id":3693129,"url":"https://alion.io/job/resmed-lead-aiml-architect","title":"Lead AI/ML Architect","company":{"id":99683,"name":"ResMed","domain":"resmed.co.uk","url":"https://alion.io/company/resmed-2","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":52,"ghost_share":0.019,"stale_share":0.731,"repost_share":0.077,"time_to_fill_p50_days":38,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States","Peachtree Corners, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":171000,"max":214000,"currency":"USD","period":"year","gross":null,"usd_annual":214000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2025-11-06T00:00:00Z","employer_posted_date":"2025-11-06","last_verified_at":"2026-11-04T10:48:30Z","board_verified":true,"closed_at":null,"days_open":363,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":363},"description":"About the job\nWe are seeking a Machine Learning Product Architect to define, scale and guide the architectural vision for our AI, ML, and GenAI products. This is a senior, highly visible role that 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.\nOur business is growing. Our customer needs are evolving. And our platform is advancing rapidly, especially as we embed more AI-native capabilities into our products. Today, our AI, GenAI and machine learning capabilities are fueling a new era in healthcare - powering intelligent systems that help people receive care outside the hospital and supporting providers with insights that enable better outcomes and lower costs. With one of the largest actionable datasets in the industry, we’re uniquely positioned to shape how healthcare is delivered across care settings, from home to post-acute to long-term care.\nThis 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.\nLocation: San Diego (Hybrid)\nLet’s talk about the role.\nAs a Machine Learning Product Architect, you will own the end-to-end architecture of AI/ML/GenAI systems that empower our software products with advanced AI capabilities. You will collaborate with cross-functional teams including business product managers, data scientists, machine learning engineers, and software engineers to design and implement scalable AI. Your work will enable the integration of model training and inference in production environments, ensuring that both the data source and output are optimized for performance and accuracy. You will also work with leadership to communicate and demonstrate the value and impact of machine learning architectures.\nLet's talk about responsibilities.\nArchitect scalable ML and GenAI solutions across model training, inference, and workflow AI automation, ensuring seamless integration across products.\nPartner with product managers to translate business goals into AI-driven technical solutions that deliver measurable impact.\nDeliver solutions that balance enterprise standards with bespoke innovation, combining platforms and models to meet both organizational and market needs.\nAct 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.\nLead the creation of Architectural References to demonstrate scalable approaches, reference patterns, and best practices.\nProvide leadership in MLOps and GenAI infrastructure - model versioning, monitoring, CI/CD pipelines, and deployment frameworks.\nCollaborate with data scientists and ML engineers to ensure architectures meet the unique needs of different model types (ML, DL, GenAI, multi-modal).\nEvangelize and promote AI/ML adoption across the organization, serving as a trusted advisor and visible champion of production-ready AI.\nEvaluate emerging AI, GenAI, and cloud-native technologies; make recommendations for adoption at scale.\nDefine, Collaborate and implement governance, compliance, and security strategies for responsible AI use, ensuring adherence to regulatory and ethical standards.\nOptimize ML and GenAI workloads for performance, reliability, and cost efficiency.\nServe as the technology scout, evaluating and integrating emerging AI/ML tools and methodologies to evolve our tech stack strategically\nLet's talk about qualifications and experience.\nBachelor’s or Master’s degree in Computer Science, AI/ML, or related field.\n8+ years of relevant experience with strong exposure to production-deployed AI/ML systems.\nProven success in scaling AI/ML and GenAI architectures from concept to production.\nDeep understanding of ML algorithms, GenAI architectures (LLMs, embeddings, RAG, Agentic), and LLM pipeline workflows.\nStrong coding proficiency in Python (additional languages a plus).\nKnowledge of modern software architecture principles and design patterns.\nStrong communication and influencing skills to engage technical and non-technical stakeholders.\nCertifications in cloud architecture or ML/GenAI technologies (preferred).\nPortfolio showcasing production-deployed ML/GenAI systems with business impact.\nLet’s talk about what you can expect.\nA supportive environment that focuses on people's development and best implementation\nThe opportunity to evangelize AI across healthcare and directly influence its adoption.\nExposure to inclusive global teams, with open collaboration and idea sharing. We want your ideas!\nBe supported both inside and outside of the work environment.\nThe opportunity to build something that matters and see your work improve outcomes at scale.\nDream big, iterate and experiment to drive innovation.\nWhy join us\nAt Resmed, you’llbe part of a mission drivencompany focused on improving health and quality of life. This role offers high visibility, the chance to learn from senior brand leaders, and the opportunity to shape how Resmedshows up across global markets. You’llgrow your skills in brand strategy, cross functionalcollaboration, and brand governance at scale.\nWe are shaping the future at Resmed, and we recognize the need to build on and broaden our existing skills and continue to attract and retain the world’s best talent. We work hard to offer holistic benefits packages, provide flexible work arrangements, cultivate a workforce culture that allows employees to grow personally and professionally, and deliver competitive salaries to our team members. Employees scheduled to work 30 or more hours per week are eligible for benefits. This position qualifies for the following benefits package: comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), and tuition assistance. Employees receive Flexible Time Off (FTO), receive 11 paid holidays plus 3 floating days and are eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave when welcoming new family members.\nIndividual pay decisions are based on a variety of factors, such as the candidate’s geographic work location, relevant qualifications, work experience, and skills.\nAt Resmed, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current base range for this position in San Diegois: $171,000- $214,000 - $257,000 USD.\nJoining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! 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