Senior Engineering Manager, Nirvana

• You are a strategic thinker and technical leader passionate about applying advanced AI to solve complex, real-world problems
• You can architect, design, and lead the implementation of innovative AI solutions that drive significant business value
• Comfortable with ambiguity, you excel at navigating the frontiers of AI capabilities and translating cutting-edge techniques into practical applications
• Your ability to delve deeply into technical details (from model architecture to MLOps) while maintaining a clear vision of the broader AI strategy inspires your teams
• With a proven track record in delivering complex AI/ML projects, you excel at leading engineering efforts and fostering collaboration between research, engineering, and product
• You have a keen eye for talent and strong hiring capabilities, able to attract, mentor, and retain AI/ML engineers in a competitive market
• Your excellent organizational skills allow you to manage multiple high-priority initiatives simultaneously while maintaining focus on team development and strategic outcomes
• 8+ years of experience in software development, with significant experience in AI/ML systems
• 3+ years managing engineering teams, preferably focused on AI/ML
• Deep expertise in designing, building, and deploying machine learning models and systems in production
• Strong background in AI/ML infrastructure, MLOps, and modern AI tooling (e.g. , LLMs, eval platforms, inference optimization)
• Experience with cloud platforms (AWS, GCP, Azure) and leveraging cloud services for AI workloads
• Proficiency in relevant programming languages (e.g. , Python) and ML libraries/frameworks
• Proven ability to lead complex, cross-functional AI projects from conception to deployment
• Experience with AI model optimization, serving infrastructure, and observability for AI systems

Desirable

• As Senior Engineering Manager for AI & Core Infrastructure, you'll lead teams building the foundation for our AI-powered insurance platform
• Build and scale our ML platform supporting large language models, reasoning engines, and agentic systems
• Design infrastructure for reinforcement learning pipelines and model fine-tuning workflows
• Create robust evaluation frameworks for generative AI systems in insurance contexts
• Enable rapid experimentation and deployment of AI models in production
• Architect and build the cloud fabric that powers our production environments
• Design secure-by-default cloud infrastructure with zero-trust principles
• Create exceptional developer experiences for CI/CD and staging environments
• Implement comprehensive security across our cloud, application, and AI layers
• Establish automated compliance frameworks and infrastructure-as-code standards
• Design scalable observability solutions for our distributed systems
• You'll collaborate closely with our Data Science and business teams to translate our vast data assets into competitive advantages that directly impact our growth trajectory