This is a strategic, customer-facing, and hands-on role where you will own the technical design of enterprise deployments and play a key part in shaping how our platform delivers value in production environments.
What Youll Do:
Own Customer Solution Design
Lead technical discovery sessions with enterprise customers to deeply understand their AI usage, architecture, and security requirements.
Design end-to-end solution architectures tailored to customer environments (cloud, hybrid, on-prem).
Translate security and governance needs into scalable technical implementations.
Be the Technical Bridge
Work closely with Sales during pre-sale processes to support technical validation and proof-of-value engagements.
Partner with Product and R&D to communicate field feedback and influence roadmap priorities.
Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization.
Drive AI Security Implementations
Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments.
Define best practices for secure AI adoption, governance workflows, and observability frameworks.
Guide customers through architecture decisions, trade-offs, and scalability considerations.
Lead Technical Authority
Act as a trusted advisor to CISOs, security teams, and AI leaders.
Support complex technical escalations and architectural challenges.
Continuously stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks.
Hands-on technical background (architecture, engineering)
5+ years of experience in cybersecurity (Application Security, Cloud Security, AI Security, or related fields) – must.
Strong understanding of modern cloud environments (AWS / GCP / Azure) and enterprise architectures.
Experience designing or implementing complex technical solutions in enterprise environments.
Excellent communication skills and ability to translate technical depth into business value.
Customer-facing experience – pre-sale, post-sale, or strategic technical advisory roles.
Bachelors degree in Computer Science or equivalent practical experience.
