Solutions Engineer | AI Security Startup | LLMs, DLP, IAM, AI Agents, Docker, Python, Azure, AWS

This is an AI-first security environment solving some of the hardest enterprise challenges across AI, Identity, and Data Protection.

The work sits at the intersection of AI security, LLM workflows, identity trust, and enterprise-scale data protection. Teams here operate with deep technical ownership, fast execution, and strong collaboration across Product, Engineering, and Sales.

You’ll work on real-world AI security problems involving AI agents, MCP orchestration, DLP enforcement gaps, identity trust boundaries, and cloud-scale architectures.

This is a high-visibility role where technical storytelling, architecture thinking, and customer trust directly influence product direction and business growth.

Job Description

What You’ll Do

• Lead technical discovery for AI security, DLP, and Identity-focused customer use cases
• Design end-to-end architectures for LLMs, AI agents, IAM, and data protection workflows
• Translate complex AI security concepts into clear narratives for CISOs, architects, engineers, and business stakeholders
• Build and run demos and POCs using Dockerized environments
• Integrate enterprise ecosystems including Microsoft Entra ID (Azure AD), Okta, Intune, and Jamf Pro
• Explain AI pipelines using LangChain, LangGraph, and MCP orchestration patterns
• Conduct technical workshops and collaborative whiteboarding sessions
• Troubleshoot AI pipelines, identity flows, and data protection challenges
• Create interim technical solutions using Python, YAML, and cloud services
• Collaborate closely with Product and Engineering teams to influence roadmap and solution feasibility
• Maintain demos, technical assets, and documentation in GitHub

What You Bring

• 8+ years of experience in Pre-Sales, Solution Engineering, or senior technical customer-facing roles
• Strong expertise in AI security, LLMs, AI agents, and emerging AI abuse patterns
• Deep practical understanding of DLP architectures, enforcement points, inspection, and bypass scenarios
• Solid IAM knowledge including SSO, OAuth/OIDC, authentication, authorization, and policy enforcement
• Hands-on experience with Docker, Linux, Python, and YAML configurations
• Familiarity with Microsoft Intune, Jamf Pro, and enterprise endpoint trust tooling
• Experience working with AWS, Azure, or GCP environments
• Comfortable managing code, configurations, and assets through GitHub
• Exceptional storytelling, workshop facilitation, and executive communication skills
• Ability to simplify highly complex technical systems into practical, defensible solutions
• Startup experience preferred

Education

• Bachelor’s degree in Computer Science, Information Security, Engineering, or a related technical field preferred

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