Senior Enterprise Architect (AI and Frontier Security)

About this role

Would shaping AI security strategy for strategic customers and helping them navigate emerging risks excite you? Would being a trusted technical authority on emerging AI security technologies, both internally and with customers, excite you? Partner with the best Our Services Advanced Technology team works directly with customers, combining security expertise with an understanding of their evolving technology environments.

We provide advisory and implementation services in AI security, agentic systems, runtime protection, and multi-cloud architecture. This way, we help Akamai's most strategic customers securely adopt and operate AI at scale. Lead AI Security Transformation You will provide technical advisory services and technical design and consultancy to key decision makers. This will influence your customers' business strategies and maximize the value they receive.

You will be the lead on cutting edge and emerging technologies. Sharing expertise from the wider market and across the organization. As an Enterprise Architect, you will be responsible for: Defining and evolving AI security architectures and standards covering agents, workloads, identities, runtime protection, and east-west containment. Assessing customer AI environments against security, regulatory, and risk requirements, clearly communicating coverage and confidence levels.

Delivering security-focused consulting, architecture, and implementation guidance for complex AI and multi-cloud environments. Designing and evaluating controlled frontier AI use cases, measuring quality, efficiency, cost, and outcomes against existing approaches. Advising Global Services, Sales, Presales, and customers on AI security strategy, emerging technologies, and complex technical challenges. Do what you love To be successful in this role you will: Have 8+ years of experience in security architecture, security consulting or security systems engineering, with direct customer delivery.

Have in-depth knowledge of at least one area: application and API security, workload security, microsegmentation, IAM and multi-stack integration expertise Have hands-on experience building with LLM and agent systems: tool and function design, agent-to-tool protocols such as MCP, retrieval, and evaluation Have working knowledge of AI-specific risks, including prompt injection, tool abuse, identity sprawl, data exfiltration, and model supply chain risks.