Forward Deployed Engineer

Responsibilities

• All responsibilities of a Senior Forward Deployed Engineer, operating at the highest level of technical complexity and strategic account engagement
• Serve as the technical lead and quality standard for the Forward Deployed AI Engineering team — reviewing solutions, setting architectural patterns, and ensuring consistency and excellence across all engagements
• Own and lead the AI & Data Science function — building cross-customer intelligence systems that may include vulnerability prioritization models, configuration baselines, threat intelligence pipelines, detection optimization tools, and other areas identified through active FDE customer engagements
• Ensure the feedback loop between FDE customer work and the AI & DS function is tight and continuous — no tickets, no handoffs, direct collaboration
• Work with SE&A to operationalize AI/DS-built tools — ensuring what the team builds is something SE&A engineers can run and customers can benefit from
• Define the technical direction for how FDE-built solutions are documented, packaged, and made available across the broader platform
• Mentor Senior and Forward Deployed Engineers — elevating the team's technical bar across AI, data, and security domains
• Partner with the Director on team strategy, hiring bar, and long-term capability development
• Represent the FDE team's technical perspective in cross-functional conversations with Product, SE&A, and Rapid Deployment

• 7+ years in technical roles with senior engineering or technical leadership experience
• Expert-level programming skills with experience designing data pipelines, ML systems, or AI applications
• Deep expertise across security operations, data science, and AI/ML domains
• Experience defining technical standards, architectural patterns, and quality benchmarks for engineering teams
• Proven track record building cross-customer intelligence systems or reusable technical platforms
• Strong mentorship and knowledge-transfer skills
• Experience operating at the intersection of customer problem discovery and internal platform development
• Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field (or equivalent practical experience)
• Relevant certifications such as CISSP, CISM, GIAC certifications, Google Cloud Professional, Microsoft SC-200/AZ-500, or AWS Certified Solutions Architect are a plus