F5 is a global leader in application and API security, expanding its capabilities into AI Runtime Security. This role as a Solutions Engineer III focuses on winning and expanding Tier-1 and Tier-2 Financial Services customers by driving sales, designing tailored architectures, and ensuring customer success in complex AI security deals.
Responsibilities:
- Drive the Sales Motion: Partner with Enterprise Account Executives through the full sales cycle, from technical discovery and qualification through POCs, security reviews, and final technical close
- Design Tailored Architectures: Create solution designs that map F5's AI security capabilities to complex FS environments, including hybrid cloud, legacy cores, and existing data platforms
- Execute High-Impact Demos: Build and deliver compelling demonstrations of inference-layer protection, model red-teaming, and agent defense that prove value against FS success criteria like fraud reduction and compliance
- Navigate Risk & Compliance: Serve as a domain expert on AI/model risk, operational resilience, and regulatory frameworks, leading technical responses for RFIs/RFPs and security questionnaires
- Influence the Product Roadmap: Work cross-functionally with Engineering and Product teams to relay field feedback from FS customers, ensuring our AI security portfolio evolves with industry-specific needs
- Ensure Customer Success: Support the onboarding of new wins, providing clear architectural documentation and best-practice handovers to the Customer Success team
Requirements:
- 5+ years in a customer-facing technical role (Solutions Engineer, Security Architect, or similar) within enterprise B2B SaaS
- A strong background in cybersecurity and AI, with hands-on understanding of LLMs, inference-layer guardrails, and data protection in production environments
- Practical familiarity with FS reference architectures, risk management, and compliance topics such as AML/KYC and data privacy
- The ability to translate complex AI security challenges into simple, actionable narratives for both technical teams and non-technical executives
- Experience supporting global banks or payment networks, or a background in software/ML engineering before moving into customer-facing roles