Software Architect - Education IT & Innovation

NYU Langone Health • New York, NY

5d

About The Position

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.

Requirements

• 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, and tradeoff decisions.
• Excellent communication skills able to convey complex technical concepts clearly to both technical and non-technical audiences.
• Demonstrated ability to work cross-functionally and influence architectural direction across multiple stakeholder groups.

Nice To Haves

• MS in Computer Science, Engineering, or a related technical field.

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.

Benefits

• financial security benefits
• generous time-off program
• employee resources groups for peer support
• holistic employee wellness program (physical, mental, nutritional, sleep, social, financial, and preventive care)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior