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Lead Security Architect

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InstaDeep

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Location:
United Kingdom , London

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

We are looking for a Lead Security Architect to define and evolve the company’s reference security architecture across enterprise IT, cloud, data, product, and AI/ML environments. This is a senior leadership role for someone who can combine deep technical architecture capability with the ability to work across IT, Product, Cloud, Data, Legal, and Governance stakeholders. You will shape the company’s target-state architecture for Zero Trust, IAM, reverse proxy, segmentation, AI/ML trust boundaries, and secure integration patterns, while ensuring security architecture remains practical, scalable, and aligned to business priorities. You will play a central role in helping the company scale securely as an AI-first, cloud-first organisation operating in a regulated context with ISO 27001, NIS2, and sensitive data protection requirements.

Job Responsibility:

  • Security architecture leadership
  • Define architecture principles and implementation patterns for Zero Trust, identity, authorization, trust boundaries, segmentation, secure integration, and secure access
  • Set the strategic direction for enterprise, cloud, and data security architecture
  • Define target-state architecture for Enterprise IT, Cloud, and Infrastructure, including IAM and identity trust models, reverse proxy and secure access architecture, network and data segmentation, cloud-native control patterns
  • Lead the development of architecture standards for secure integration between IT and product environments
  • Partner closely with Global IT Security Engineering on IAM, endpoint, VPN, reverse proxy, and access-tool integration
  • Define security architecture for AI/ML workflows, cloud-native data platforms, and ML pipelines
  • Establish and maintain AI/ML trust-boundary models
  • Support architecture and product teams on secure AI adoption
  • Shape standards for data governance and access design, ML pipeline trust boundaries, model and data protection patterns, secure use of AI assistants and AI-enabled workflows
  • Lead architecture review governance for high-risk initiatives
  • Facilitate and strengthen threat modeling and secure design review practices
  • Ensure that security principles are translated into reusable, practical design patterns
  • Create standards that can be adopted by architecture, infrastructure, DevOps, and product teams
  • Translate between technical architecture language and governance / compliance / business language
  • Work closely with Trust & Security teams, IT Platform and IT Security Engineering, Product and engineering leadership, Legal and GRC
  • Coach and influence architects and technical leaders across IT, Cloud, Product, and ML environments
  • Subject Matter Expert and role model in developing a Security Architecture Platform

Requirements:

  • 5+ years in enterprise and cloud security architecture
  • 5+ years in identity, access, and network trust design
  • 3+ years facilitating threat modeling and secure design reviews
  • Strong experience defining architecture standards and translating principles into practical patterns
  • Experience working across enterprise IT, cloud platforms, infrastructure, and product environments
  • Experience engaging with senior stakeholders across technical and non-technical functions
  • Security architecture at enterprise and cloud scale
  • Zero Trust and IAM architecture
  • Secure integration and trust-boundary design
  • Threat modeling and architecture review governance
  • Cloud-native security patterns
  • Data security and access-control design
  • Strong written communication and architecture documentation
  • Ability to coach and influence senior engineers and architects

Nice to have:

  • Experience with AI/ML workflow security, data governance, and cloud-native data controls
  • Experience supporting organisations through ISO 27001, NIS2, or equivalent regulated environments
  • Experience in SaaS-heavy, cloud-first, or AI-first organisations
  • Familiarity with reverse proxy, secure remote access, endpoint and identity integration patterns
  • Ability to interface effectively with DevOps, MLOps, Infrastructure, and Product Engineering teams

Additional Information:

Job Posted:
May 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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