
Software Architect Education IT & Innovation
NYU Grossman School of Medicine
NEW YORK, NYJobSeen 5 days agoSeen in employer's feed 5 days ago
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Job overview
NYU Grossman School of Medicine seeks a Software Architect for Education IT & Innovation to develop system architecture, set technical direction, and guide design across cloud-native and AI-enabled platforms. The role provides architectural leadership for custom education systems and calls for expertise in full-stack development, systems architecture, and DevOps, with working knowledge of AI/ML, LLMs, and Databricks lakehouse environments.
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Full job description
NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go tomed.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, TwitterandInstagram.Position Summary:We have an exciting opportunity to join our team as a Software Architect - Education IT & Innovation.This role focuses on developing system architecture, setting technical direction, and guiding design decisions across cloud-native and AI-enabled platforms. The ideal candidate brings deep expertise in full-stack development, systems architecture, and DevOps practices alongside a working understanding of AI/ML technologies such as large language models (LLMs) and Databricks lakehouse environments.Job Responsibilities: * Design and document scalable system architectures across a portfolio of custom-built education platforms. * Provide technical leadership and architectural guidance to engineering teams. * Serve as a thought leader in cloud-native and AI-integrated system design, ensuring solutions align with institutional strategy and standards. * Evaluate and recommend technologies, frameworks, and platforms particularly in the areas of AI/ML, LLMs, agentic systems, and lakehouse architectures (e.g., Databricks). * Define best practices for systems design, development patterns, and DevOps workflows including CI/CD, test automation, and observability. * Contribute to code and solution reviews, ensuring architectural integrity, security, and scalability across the stack. * Collaborate with product owners, data scientists, engineers, infrastructure teams, and cybersecurity partners to ensure cohesive system development. * Participate in enterprise architecture reviews and governance processes; author technical specifications and architecture presentations. * Provide escalation support for complex system issues, including application performance, platform reliability, and integration failures. * Continuously assess architectural risk, technical debt, and improvement opportunities across the portfolio. * Monitor emerging trends in educational technology, cloud infrastructure, and ambient computing and translate innovations into viable prototypes or reference architectures.Minimum Qualifications:To qualify you must have a BS in Computer Science, Engineering, or a related technical field. 10+ years of experience building custom software systems, with at least 5 years in a senior technical or architectural role. Expertise in full-stack web technologies (e.g., HTML, JavaScript, CSS, REST, HTTP/2, TLS) and back-end frameworks. 4+ years of hands-on AWS experience, with exposure to infrastructure-as-code and cloud-native architecture; experience with Azure or GCP is a plus. Deep understanding of relational and non-relational data models, indexing strategies, and performance optimization. Proven experience designing and supporting RESTful APIs and microservices architecture. Familiarity with modern AI/ML technologies, including LLMs, agentic systems, and AI model deployment within enterprise systems. Working knowledge of lakehouse data architectures and platforms like Databricks. Strong knowledge of DevOps practices and tools (e.g., Git, Jenkins, CI/CD pipelines, automated testing frameworks). Proficient in documenting system architecture, design rationale
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