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Tech Stack
Tools & technologiesAWSCloudCyber Security
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- Competitive salary and benefits package
- A culture of growth and development, with opportunities to expand your expertise in AI, cybersecurity, and engineering
ATS Keywords
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Hard Skills & Tools
programmingdata pipelinesmachine learning systemsAI applicationsarchitectural patternsquality benchmarkscross-customer intelligence systemstechnical standardsvulnerability prioritization modelsdetection optimization tools
Soft Skills
mentorshipknowledge transferstrategic account engagementcollaborationteam strategytechnical leadershipcustomer problem discoverycommunicationorganizational skillselevating technical standards
Certifications
CISSPCISMGIACGoogle Cloud ProfessionalMicrosoft SC-200Microsoft AZ-500AWS Certified Solutions Architect