Senior Security Engineer, AI Enablement - JLL

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The Senior Security Engineer, AI Enablement helps the business and JLL Cybersecurity adopt new AI capabilities securely, embedding with individual projects and teams to translate concepts like Anthropic Managed Agents into concrete guidance, secure patterns, and risk calls rather than a generic policy—advancing APEX + 2030's goal of AI adoption that moves at the pace of the business without outrunning its risk appetite. Unlike a permanently embedded product role, this position rotates across projects and business teams as new AI tools and platforms emerge, reporting to the Head of AI Security while building the hands-on technical depth needed to evaluate each one on its own terms.

KEY RESPONSIBILITIES

Project & Team Enablement

Embed temporarily with business and technology teams launching new AI-enabled projects, from early design through launch, providing security input as the project is built rather than at a final review.

Translate emerging AI concepts and platforms, such as Anthropic Managed Agents, Claude Code, and Moveworks, into guidance a project team can act on immediately, not a policy document they have to interpret themselves.

Prioritize which projects need hands-on engagement versus lightweight guidance, based on the actual risk and complexity of what's being built.

Evaluating New AI Technology & Platforms

Go deep on new AI platforms and capabilities as they reach JLL, including:

Anthropic Managed Agents, Claude Agent SDK, and Claude Code

Moveworks and comparable enterprise agent platforms

New agentic and MCP-based tooling as vendors release it

Identify the specific risks each new technology introduces, translating vendor documentation and platform behavior into a plain-language risk read the business can use to make a decision.

Define secure configuration patterns and reusable guardrails for each platform so every project adopting it starts from a secure baseline instead of reinventing one.

Risk Identification & Guidance

Own the risk assessment for new AI tools and platforms being evaluated by the business—covering data handling, tool permissions, and agent-to-system access—and turn findings into a clear go, no-go, or go-with-conditions recommendation.