AI Security Architect

PoloWorks are currently recruiting this role on behalf of our parent company Marco Group.
We are looking for an AI Security Architect to own the security posture of AI tooling across the Marco Group, covering approved platforms such as Microsoft Copilot and Anthropic Claude in their full capability set, AI capabilities embedded within existing business systems, AI-assisted software development, and third-party or vendor AI usage. This is a newly created, architecture-level role that will define how the Group adopts AI safely, at pace, and in line with regulatory expectations.

Working closely with the Group Head of Information Security, the AI Security Architect will design and maintain the security controls, risk assessment framework and governance model for AI tooling, and will act as the Group's technical authority on generative AI risk – including data leakage, prompt injection, agentic/tool-use risk and model access control. The role will also support engineering teams in embedding secure practices where AI-assisted development tools are used, and will contribute AI-specific risk assessment to vendor and third-party due diligence. This role will report into the Group Head of Information Security.

Own the security configuration and ongoing hardening of Claude and Microsoft Copilot across their full capability set, including connectors, agentic/tool-use features, data access scopes and browser or desktop extensions

Define and maintain acceptable-use policies, permission boundaries and data-loss-prevention controls specific to generative AI tooling

Monitor vendor feature releases and proactively assess new capabilities, such as new connectors or agent modes, for risk before they reach general use

Design and run a standing AI risk assessment framework covering data classification, model access, third-party data flows and output integrity, applied consistently to every new AI use case

Maintain a central AI tooling register of approved, restricted and prohibited tools, with documented risk ratings and compensating controls

Translate assessment findings into technical and procedural controls, including access management, logging and monitoring, and prompt and data governance

Partner with engineering and development teams to embed security guardrails where AI coding tools are used, including code review standards, secrets handling and dependency and IP risk

Define secure-by-design patterns for building internal AI-powered tools or integrations

Assess AI capabilities embedded in third-party and vendor products, both existing suppliers adding AI features and new AI vendors, as part of vendor due diligence

Contribute AI-specific clauses to vendor contracts and DPAs, covering data use, model training exclusions and sub-processor disclosure

Maintain oversight of shadow AI usage risk across the business

Report AI risk posture and control effectiveness to the Group Head of Information Security and relevant governance committees

Support regulatory alignment as it relates to AI tool usage, including DORA, UK GDPR and sector-specific AI guidance

Act as the internal technical authority and first point of contact for AI security queries across the business

Strong background in information security architecture, ideally with exposure to cloud/SaaS security and vendor risk

Working knowledge of LLM and generative AI architectures, data flows and associated threat models, including prompt injection, data leakage, model access control and agentic tool-use risk

Familiarity with regulatory frameworks relevant to the sector, including DORA, UK GDPR, ISO 27001 and NIST CSF

Experience running structured risk assessments and translating them into actionable controls

Strong stakeholder management, with the confidence to engage both technical teams and senior leadership

Desirable: experience working within the Lloyd's or London Market (insurer, managing agency, broker or managed service provider), including familiarity with Lloyd's Minimum Standards, Principle 12 and Operational Resilience (OpRes) requirements
Knowledge & Qualifications 

Security architecture principles and design patterns across cloud and SaaS environments

Large language model and generative AI architectures, including agentic and tool-use / connector risk

AI governance concepts and frameworks, such as ISO/IEC 42001 and the NIST AI Risk Management Framework

DORA, ISO 27001, NIST CSF and UK/EU GDPR requirements

Vendor and third-party risk assessment methodology

Secure software development practices, particularly where AI-assisted coding tools are in use

One or more of the following (or working towards):

Desirable – AI governance / assurance accreditations: