AI Security Solutions Engineer | Architecting Trust for the Generative AI Era | Cloud & AppSec + LLM Orchestration | APAC & ME | Tier-1 VC Backed

  • Bengaluru
Job Details
Full Time 3-9 years
Skills

Full Job Description

The Role

We are seeking an AI Security Solutions Engineer – a rare “Purple Person” fluent in both Cybersecurity and Machine Learning.

You will:

  • Lead high-stakes enterprise PoCs

  • Architect AI guardrails across production deployments

  • Conduct adversarial red-teaming on LLM systems

  • Secure RAG architectures and LLM orchestration platforms

  • Harden AI inference endpoints and data pipelines

This is hands-on, production-grade AI security.


The Bar

  • Deep Cloud Security and Application Security foundations

  • Strong experience in API security and distributed systems

  • Hands-on LLM orchestration exposure (LiteLLM / LangChain)

  • Comfort operating in high-velocity startup environments

We are looking for builders who understand both attack surfaces and system architecture.


About You

You have architected production systems where security and AI intersect.

You have:

  • Built, deployed, and hardened AI implementations

  • Reviewed OpenAPI specifications and API flows

  • Analyzed model behavior logs

  • Debugged OAuth and identity flows

  • Optimized latency across guardrail chains

You translate across domains:

  • Explain embedding distance thresholds to security teams

  • Map OWASP Top 10 risks to LLM vulnerabilities

  • Design mTLS and secure endpoints for model APIs

You move fast, document clearly, and build systems that engineering teams rely on.

You are comfortable with:

  • Infrastructure-as-code reviews

  • GitOps workflows

  • Async collaboration across global pods

  • Operating inside distributed system architectures


We Will Go Deep

Expect technical conversations such as:

Prompt Injection
In a RAG architecture, how would you execute an indirect prompt injection?
Which Cloud or AppSec control would you attempt to bypass?

Orchestration Security
If LiteLLM or Portkey is used as a model gateway, what risks exist in API key management and raw prompt logging?

Guardrail Design
What is the difference between a System Prompt and an External Guardrail such as NVIDIA NeMo?
Which is easier to jailbreak using an adversarial suffix, and why?

If these discussions energize you, you will thrive here.


Why This Role Matters

AI security is not an extension of traditional cybersecurity.
It is a new attack surface.

This role sits at the frontier of defending enterprise AI at scale.

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