AI Security Solutions Engineer – AI-Native Cybersecurity Platform | Red Teaming, Cloud Security, Application Security, Ethical Hacking
- 45k-55k
- Bengaluru, Hybrid
Full Job Description
About the Company
An AI-native cybersecurity company purpose-built to secure modern AI systems end to end. The platform is designed to protect agentic and LLM-powered applications across models, orchestration layers, APIs, and cloud infrastructure—not just the prompt layer. Backed by seasoned AI and cybersecurity leaders, the team blends deep technical rigor with ethical hacking, red teaming, and real-world security thinking to build products customers trust in production.
Role Overview
We are hiring a customer-facing AI Security Solutions Engineer to support a rapidly expanding enterprise customer base across APAC and the Middle East. This hybrid pre-sales and post-sales role plays a critical part in helping customers evaluate, deploy, and operationalize an AI security platform in live environments.
You’ll work closely with regional engineering teams, partner with sales during technical evaluations, and engage directly with CISOs, security leaders, and AI engineering teams as a trusted technical advisor.
What You’ll Do
Partner with Sales to run technical discovery, demos, evaluations, and proofs-of-concept
Support onboarding, deployment, and integration of the AI security platform
Advise customers on AI security best practices, risk assessment, and secure deployment patterns
Act as a subject-matter expert for AI security, red teaming, and application security across the region
Collaborate with Engineering and Product to influence roadmap decisions using customer feedback
Develop reusable solution architectures, documentation, and enablement materials
Support discussions around AI misuse, adversarial testing, ethical hacking, and bug bounty-style findings
What Makes You a Strong Fit
3–7 years of experience in cloud security, application security, threat detection, or AI/ML systems
Strong customer-facing capability with the ability to explain complex security concepts clearly
Hands-on experience with APIs, integrations, and cloud environments (AWS, Azure, GCP)
Exposure to fast-moving startup, scale-up, or innovation-driven enterprise environments
Comfortable working with globally distributed engineering and product teams
Relevant Technology Exposure (Preferred)
GenAI platforms and models (OpenAI, Anthropic, open-source frameworks)
Cloud AI services (AWS Bedrock, Vertex AI, Azure OpenAI / model catalogs)
Model orchestration and gateway tools (LiteLLM, Portkey, similar platforms)
Guardrails and safety tooling (NVIDIA NeMo Guardrails or equivalents)
AI red teaming, adversarial testing, prompt abuse, and misuse detection frameworks
Ethical hacking methodologies and bug bounty-inspired security research approaches
Why This Role Matters
Direct ownership of AI security conversations with global enterprise customers
Real-world exposure to red teaming, AI risk, and secure deployment challenges
Influence how AI security products evolve based on customer needs
Work with a high-caliber team that takes cybersecurity seriously-without unnecessary formality
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