Senior AI Enablement Engineer

About Beazley Security

Beazley Security is a global cybersecurity firm committed to helping clients enable advanced cyber defenses that reduce risk with quantifiable results. We’re comprised of top talent from private industry, government, intelligence, and law enforcement who are specialists in threat detection, incident response, digital forensics, offensive security, risk management, and cyber resilience. As a subsidiary of a specialty insurance giant, Beazley Insurance, we’ve been at the forefront of cyber insurance management and breach response activities for business clients in the US, UK, and Europe since 2017. As Beazley Security, the company will have an expanded scope, leveraging nearly two decades of cyber incident experience, a strong services division, and a business strategy focused on growth, to realize our goals and deliver benefits to clients.

As a company, we are committed to upholding our core values of Belonging, Integrity, Service, Accountability, and Curiosity. We believe these values are essential to creating a strong and inclusive workplace culture, as well as to deliver world-class cybersecurity solutions to our clients worldwide. As Beazley Security, these values will continue to thrive, with an extra emphasis on expansion of our capabilities and capacity in helping solve unique client challenges.

Summary

Beazley Security has Claude and Microsoft Copilot deployed across the company. The next step is putting agents to work across every team in the business. This is our first hire dedicated to making that happen.

You’ll work with operations, sales, finance, and other non-technical teams to find manual work worth automating. You’ll build agents in Claude and Copilot Studio, get them into daily use, and measure the time they save. Early on you’ll build most of them yourself, while teaching teams to build their own.

You’ll have a big say in what we tackle first and how we build it. This is the first hire for what we plan to grow into a team, so a lot of what you set up early will stick.

Beazley Security protects client data and systems for a living, so you’ll build security and privacy into every agent from the start. You’ll help us establish safeguards to ensure that agents can go into production quickly and safely, by building upon our existing agentic security tooling and capabilities.

Responsibilities

• Spend time with teams across the business, watch how the work gets done, and pick the problems where an agent saves hours or removes a manual, error-prone step. Agree on what success looks like before you build.
• Turn a stream of AI ideas into a short, ranked backlog with a clear call on each: build it, help the team build it, or leave it alone.
• Estimate what each agent will cost to run, including licensing and token consumption. Use our pre-agreed guardrails so low-risk agents go live quickly, and bring in Security, IT, Legal, or Privacy when a use case needs a closer look.
• Design, build, test, and deploy AI agents and supporting automation using the Claude Platform and Microsoft Copilot Studio.
• Build a group of champions across the business, run hands-on build sessions and office hours, and create the templates and playbooks teams use to build their own agents safely.
• Help maintain a record of every agent in production with its owner, data sources, and access. Evaluate new AI tools when teams ask about them and recommend whether we adopt them.

Your First 90 Days

• Days 1 to 30: Get to know Beazley Security. Sit with at least three teams, map their most painful workflows, and build your first agent yourself. Get it into real use, even if it’s small.
• Days 31 to 60: Two or three agents in production, each measured against a baseline of “value”. A published intake process, and your first AI champions identified.
• Days 61 to 90: At least one team can point to manual work that’s gone. The agent register and build playbook are live.
• After that: Champions build their own agents using your patterns, and your results justify the next hire onto this team.

What You’ll Have

• Executive buy-in and support. You report to our Chief Product and Technology Officer, who uses AI every day and has built several agents for internal use. Expect quick decisions and direct help when a project gets stuck.
• A first project. A business sponsor and workflow lined up before day one.
• A fast review path. Guardrails agreed with Security and Legal before y…