Senior Staff Software Engineer - AI Innovation

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. They are seeking a Senior Staff Software Engineer to drive AI innovation by exploring emerging technologies and rapidly prototyping new ideas, turning successful experiments into scalable capabilities.

Responsibilities:

• Drive AI innovation across SpyCloud by identifying, evaluating, and applying emerging technologies in AI, agents, and knowledge systems
• Rapidly prototype new products, workflows, and capabilities to validate technical feasibility and business value
• Architect and build scalable AI systems that combine LLMs, graph technologies, proprietary intelligence, and cloud-native services
• Partner with product, engineering, data science, and executive leadership to transform successful prototypes into production-ready capabilities
• Develop reusable frameworks, tools, and reference architectures that enable teams across SpyCloud to leverage AI effectively
• Evaluate and benchmark emerging models, agent frameworks, and AI tooling, providing technical guidance on adoption and best practices
• Mentor engineers and influence technical strategy through hands-on leadership, clear communication, and cross-functional collaboration

Requirements:

• 10+ years of software engineering experience, including experience operating at the Staff or Senior Staff level
• Proven track record of independently driving ambiguous, high-impact technical initiatives from concept through adoption
• Deep hands-on experience building applications powered by LLMs, agentic systems, retrieval architectures, and modern AI tooling
• Demonstrated ability to rapidly prototype, iterate, and validate new ideas while maintaining strong engineering judgment
• Experience designing and operating large-scale graph databases or knowledge graph systems at scale (Neo4j, Neptune, TigerGraph, JanusGraph, or similar)
• Strong software engineering and systems design skills, including experience building distributed cloud-native applications, preferably in AWS
• Excellent communication and influence skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
• Comfortable balancing exploratory innovation with production-quality engineering and long-term platform thinking
• Experience building cybersecurity, fraud detection, identity intelligence, or threat intelligence systems
• Experience with knowledge graphs, entity resolution, and large-scale relationship analytics
• Experience building developer platforms, internal frameworks, or shared infrastructure adopted across multiple teams
• Familiarity with AI evaluation, observability, benchmarking, and governance practices
• Experience working with large-scale data platforms containing billions of entities and relationships