AI Security Architect
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-06-22
Listing for:
IQVIA LLC
Full Time
position Listed on 2026-06-22
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Information Security, Cybersecurity, Data Security
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.
Responsibilities- 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 — 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, output handling, audit logging, and integration with IQVIA’s broader identity and data governance controls.
- Partner with development teams to provide practical AI security guidance, supporting the secure design of AI‑integrated applications and ensuring development teams have the guidance, patterns, and standards needed to build responsibly with AI technologies.
- Support the development of AI security awareness and guidance materials for developers, data teams, and business stakeholders across IQVIA, ensuring consistent understanding of how AI tools should be used within IQVIA’s security and governance framework.
- Monitor the evolving AI security and regulatory landscape — including emerging attack techniques, model provider disclosures, and developments in AI regulation — and translate findings into timely, actionable updates to IQVIA’s AI governance posture and security standards.
- Collaborate with Legal, Privacy, and Compliance teams on AI‑related regulatory requirements, including obligations under the EU AI Act, GDPR implications of AI data processing, and sector‑specific requirements applicable to life sciences and healthcare AI deployments.
- Define metrics and reporting for AI security governance, providing CISO leadership and governance stakeholders with clear visibility into AI adoption volume, risk profile, assessment coverage, and program maturity across the organization.
- Substantial progressive experience in Information Security, Security…
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