Ai Security Solutions Engineer

Experience : 3-7 Years Share your resumes to Role Overview We are hiring a customer-facing AI Security Solutions Engineer to support our rapidly growing customer base and technical go-to-market efforts across the APAC and Middle East regions. This hybrid pre-sales and post-sales role is critical in helping customers evaluate, deploy, and operationalize AI security platform You’ll collaborate closely with our regional engineering team in Bangalore, engage directly with CISOs, security teams, and AI engineering teams, and represent as a trusted technical partner throughout the customer journey. What You’ll Do :

• Partner with Sales to run technical discovery, demos, evaluations, and proofs-of-concept.
• Support onboarding, deployment, and integration of AI security platform within customer environments.
• Advise customers on AI security best practices, risk assessments, and secure deployment patterns.
• Work cross-functionally with Engineering and Product to influence the roadmap based on customer feedback.
• Develop reusable solution patterns, technical documentation, and enablement materials for customers and partners.
• Serve as a subject-matter expert for AI security in the APAC / ME region. Ideal Candidate Background Strong grounding in cybersecurity (cloud security, AppSec, threat detection, or related fields) and / or strong AI / ML experience (LLMs, model deployment, AI infrastructure). Experience bringing new and emerging technologies to market—startup, scaleup, or innovative enterprise environment. Previous experience with AI-native companies (foundation model providers, AI infrastructure startups) or leading cybersecurity vendors (e.G., Wiz, Palo Alto Networks, CrowdStrike). Strong customer-facing skills : able to translate complex technical concepts into clear value for executives and engineers. Hands-on experience in architecture, integrations, API-driven platforms, or cloud environments (AWS, Azure, GCP). Comfortable working in fast-moving environments and partnering with distributed global teams. Experience With Relevant Technologies (Preferred) Candidates with experience across the following AI and security tooling will stand out : GenAI platforms and providers : OpenAI, Anthropic, open-source models / frameworks. Cloud AI model services : AWS Bedrock;

GCP and Azure equivalents (Vertex AI, Azure OpenAI / model catalogs). Model gateways / orchestration layers : LiteLLM, Portkey, or similar model routing gateways. Guardrail and safety platforms : NVIDIA NeMo Guardrails or similar evaluation / guardrail tooling. AI red-teaming and testing tools : Promptfoo or comparable adversarial testing frameworks.