Description
Job Overview
We are seeking a skilled, hands-on Senior Forward Deployed Engineer (FDE) with a strong technical background and exceptional communication skills. Standing at the front lines of customer engagement, you will gain a deep understanding of the real-world pain points enterprise clients face when implementing and securing AI applications.
You will lead the custom integration, deployment, and delivery of our core AI and cybersecurity products—specifically Vulcan, our GenAI cybersecurity solution providing automated red and blue team services for compliance and security. Your primary focus will be successfully implementing these AI Security modules and defense systems directly into our clients' complex on-premise, private cloud, or hybrid cloud architectures. You are more than a technical consultant; you are a hands-on doer.
Learn more about us 👉
- Vulcan product: https://vulcanlab.ai/
- Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/
- AIFT group: https://aift.io/
Responsibilities
- Front-Line Deployment & Integration: Lead the end-to-end installation, configuration, and production deployment of AI Guardrail products within clients' specific infrastructure boundaries (On-premise, VPC, or hybrid cloud). Connect core products with clients' existing systems, including internal APIs, databases, and security management platforms.
- Environment Deployment & Troubleshooting: Optimize containerized configurations and performance within client environments (on-prem servers, private clouds, K8s clusters). Take ownership of troubleshooting, with a particular focus on GPU resource scheduling and restricted/network-isolated environments.
- Scenario-Based Solution Development: Design and implement data processing pipelines and automation scripts tailored to clients' unique business scenarios, specific AI models, or Agent execution frameworks (e.g., Harness). Automate repetitive tasks to increase efficiency during client onboarding.
- Technical Trust, Consulting & Training: Serve as the technical bridge between enterprise clients and internal product teams. Communicate closely with client tech and security leads to explain AI vulnerability defense mechanisms, address compliance concerns, and translate security policies into engineering requirements. Conduct technical training sessions to ensure smooth handoffs.
- Product Feedback & Engineering Feed-Forward: Collaborate closely with the engineering team to improve reliability and operational efficiency. Translate real-world pain points, extreme edge cases, client feedback, and performance bottlenecks encountered on the front line into actionable product specifications to optimize our core products.
Requirements
- Deployment Expertise: Strong, hands-on experience in executing client-side/on-premise deployments is highly essential.
- Infrastructure & Operations: Highly proficient in container technologies (Docker, Docker Compose) and orchestration tools. Hands-on experience with Kubernetes (K8s) deployment and troubleshooting (e.g., Pod scheduling, network configuration, Storage Class). Proficiency in automation platforms like Ansible and Terraform.
- Programming & Architecture: Proficiency in programming languages such as Python (with the ability to quickly read/refactor code), Bash, or Go, backed by strong system architecture thinking. Experience with AI pair programming tools (e.g., OpenAI).
- Networking & Troubleshooting: In-depth understanding of network concepts (security, firewalls, VPNs, proxy configurations) in enterprise environments. Excellent log analysis and Linux system troubleshooting abilities, capable of independently identifying root causes in restricted or offline client environments.
- Monitoring Solutions: Advanced knowledge of monitoring and alerting solutions (Prometheus, Grafana, ELK stack) to track deployment health and system reliability.
- Soft Skills & Travel: Exceptional client-facing communication and stakeholder management skills. Ability to travel and accommodate short-term on-site stints or local deployments at client premises (e.g., large enterprises, financial institutions, high-tech manufacturing in Asia, UAE, etc.) based on project needs.
Interview Process
- HR phone interview: 1 hour
- Onsite Interview: 1.5~2 hours, meet with hiring team and HR
Why Join Us?
- Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects.
- Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture.
- Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other.
- Compensation: Competitive salary and benefits package, commensurate with experience and performance.
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