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AI Security Architect

Job in London, Greater London, W1B, England, UK
Listing for: IQVIA
Full Time position
Listed on 2026-09-03
Job specializations:
  • IT/Tech
    Information Security & Data Protection, AI Business & Operations, AI Engineer (Applied/Software), Cybersecurity
Job Description & How to Apply Below
The AI Security & Governance Architect is a senior individual contributor role within IQVIA’s Security Architecture team. Artificial intelligence and generative AI are transforming how IQVIA operates — from developer productivity and business workflows to data analytics and clinical innovation. As adoption accelerates across the enterprise, the security organization must scale its ability to govern, assess, and enable that adoption responsibly and s role sits within a broader AI security strategy function and reports to the Security Architecture leader responsible for IQVIA’s enterprise AI security direction.

The AI Security & Governance Architect is instrumental in executing and maturing that strategy: working directly with development teams, the Data Office, and business units across IQVIA’s global operations to embed security and governance into AI adoption — asking the right questions, establishing the right workflows, and maintaining the visibility and control the organization needs as AI use scales.

IQVIA has existing AI governance committees and taskforces in place. This role is not a greenfield build, but the pace of AI adoption across the business demands a significant step-up in program maturity, coverage, and consistency. The AI Security & Governance Architect will be central to that effort — owning key governance and assessment work streams, representing Security Architecture in cross-functional forums, and ensuring that as IQVIA scales its use of technologies such as Microsoft Copilot, Claude, and other leading generative AI platforms, it does so with the appropriate security controls, governance frameworks, and architectural guardrails in place.

You will sit within the global Information Security organization, with close working relationships across Security Architecture, Cloud Security, Application Security, the Data Office, Legal, Privacy, Compliance, and business units spanning IQVIA’s global operations.

Principal responsibilities will include:
• Contribute to and help execute IQVIA’s AI security strategy, providing hands-on program delivery across governance, risk assessment, and stakeholder engagement work streams under the direction of the Security Architecture AI lead.
• Act as a primary security architecture partner for business units, development teams, and the Data Office as they evaluate, adopt, and scale generative AI tools and platforms — including productivity and developer assistance tools, enterprise AI platforms, and AI-enabled workflows — ensuring security requirements are understood and addressed from the outset.
• Own and operate the AI security intake and review process for new generative AI platform and tool requests, conducting structured security assessments that evaluate vendor security posture, data handling and residency practices, telemetry and logging controls, and acceptable use implications before organizational adoption is approved.
• Represent Security Architecture in IQVIA’s existing AI governance committees and taskforces, ensuring security risk positions, architectural guardrails, and governance requirements are embedded in decisions and communicated consistently across the organization.
• Develop, maintain, and operationalize AI security standards, guidelines, and reference architectures covering generative AI platforms, LLM-integrated applications, agentic systems, and AI-enabled developer and productivity tooling.
• Conduct AI security architecture reviews for new and existing AI integrations, including agentic workflows, retrieval-augmented generation (RAG) pipeline designs, LLM API integrations, and multi-model orchestration patterns — identifying risks and defining appropriate mitigations in collaboration with development and platform teams.
• Build and maintain scalable AI security workflows, assessment playbooks, and decision frameworks that enable the organization to evaluate AI adoption requests efficiently, consistently, and without creating unnecessary friction for business delivery.
• Define and maintain security requirements for enterprise generative AI platforms, addressing prompt security, data residency, access and identity controls,…
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