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Beazley Security

Global cyber risk management and resilience

Senior AI Enablement Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • You have built AI agents or automations that are in daily use, using low-code tools such as Copilot Studio or code such as Python, TypeScript, and the Claude API.
  • You have hands-on experience with prompt and context design, retrieval, tool use, and evaluating agent output, and you know where large language models fail.
  • You have integrated with REST APIs, MCP servers, connectors, and enterprise authentication.
  • You have typically spent four or more years in a business-facing technical role such as solutions engineering, solutions consulting, business analysis, automation, or platform delivery.
  • You can learn a finance or sales operations workflow from the people who run it and build something that improves it.
  • You know when a use case needs a security or privacy review and can estimate an agent’s operating cost using Copilot credits or Claude API usage.
  • You have run workshops or training for non-technical audiences and write clearly.

Responsibilities

  • Spend time with teams across the business, observe how work is done, identify problems where an agent can save hours or remove a manual, error-prone step, and agree on success measures before building.
  • Turn AI ideas into a short, ranked backlog, deciding for each whether to build it, help the team build it, or leave it alone.
  • Estimate each agent’s operating cost, including licensing and token consumption; apply agreed guardrails so low-risk agents can launch quickly; and involve Security, IT, Legal, or Privacy when a use case needs closer review.
  • Design, build, test, and deploy AI agents and supporting automation using the Claude Platform and Microsoft Copilot Studio.
  • Build a group of business champions, run hands-on build sessions and office hours, and create templates and playbooks for teams to build their own agents safely.
  • Maintain a record of every production agent, including its owner, data sources, and access; evaluate new AI tools requested by teams and recommend whether to adopt them.

Desired Qualifications

  • Experience in cybersecurity.
  • Experience running an AI champions program, community of practice, or citizen developer program.
  • Experience setting up lightweight AI guardrails, such as an agent inventory or risk tiers, that help teams move quickly.
  • Familiarity with EU data protection requirements.

About the Company

Beazley Security

Global cyber risk management and resilience

Beazley Security helps organizations manage cyber risk worldwide by combining cybersecurity protection, detection, response, and recovery with the risk-calculus of Beazley Insurance. Their team includes threat detectors, incident responders, digital forensics experts, offensive security specialists, and risk managers, drawing on years of frontline experience in private industry, government, and law enforcement. They use evidence from tens of thousands of cyber insurance claims to identify real-world risk factors and offer controls and services that reduce risk and help prevent or limit breaches. Unlike many firms, Beazley Security blends hands-on cyber capabilities with actuarial risk assessment to quantify and mitigate risk for clients. Their goal is to enable true cyber resilience: to withstand and recover from major cyberattacks and be prepared for crisis, with a remote-first culture guided by belonging, accountability, service, integrity, and curiosity.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Lewisville, TX
Founded
2016

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