About the Company
Solutions Engineer (AI, Identity & Data Security) Location: [India] Minimum Experience: 8+ years in Pre-Sales/ Solution Engineering or a similar senior technical customer-facing role
About the Role
The Sales Engineer is the technical authority and narrative driver in customer engagements. This role is responsible for translating complex AI, Identity, and Data Protection challenges into defensible, real-world solutions—while helping customers understand not just how something works, but why it matters. This role blends deep hands-on technical expertise with storytelling, big-picture ("paint the picture") thinking, and collaborative problem solving. You will work with prospects to obtain the technical win by designing a viable technical solution with an amazing product that can be applied to various scenarios. You will operate across AI security, LLMs, AI agents, MCP, DLP, and Identity, partnering closely with Sales, Product, and Engineering to close deals and influence product direction.
Responsibilities
Technical Discovery & Storytelling
- Lead technical discovery for AI security, DLP, and Identity-driven use cases.
- Translate complex security architectures into transparent narratives that resonate with:
- CISOs and VP's
- Security leaders
- Architects
- Engineers
- Business stakeholders
- "Paint the big picture" by connecting AI usage, identity trust, and data protection into a cohesive story.
- Clearly articulate what problems are solvable today, what are partially solvable, and what are structural limitations.
Architecture & Solution Design
- Design and present end-to-end architectures covering:
- LLM and AI agent workflows (human + non-human identities)
- Data protection, inspection, and policy enforcement
- Identity, authentication, authorization, and trust boundaries
- Build, configure, and run demos and POCs using Dockerized components.
- Integrate enterprise environments including:
- Microsoft Entra ID (Azure AD), Okta
- Microsoft Intune,
📌 Solutions Engineer (India)
🏢 QuilrAI
📍 India