01
TRCI-26-06264
AI Security Architect (Enterprise LLM / Claude Code)
Contract role in London to design and own end-to-end security architecture for Claude Code and future enterprise AI deployments. The architect will lead threat modelling and security architecture for agentic AI/LLM workloads, define enterprise guardrails and standards for AI tool usage, evaluate and select security tooling (e.g., DLP, API gateway, audit logging), and engage AI vendors (including Anthropic) on security controls and contractual requirements. Requires strong expertise in Zero Trust/SASE and API security, STRIDE threat modelling, security architecture frameworks (SABSA/TOGAF), and knowledge of AI-specific risks (prompt injection, model inversion, data poisoning) plus regulatory awareness (GDPR, EU AI Act, NIST AI RMF).
Position summary
- Location
- United Kingdom
- Workplace
- Remote
- Employment
- Contract
- Experience
- Minimum 5 years and Maximum 5 years
Role overview
Why This Role Matters.
Contract role in London to design and own end-to-end security architecture for Claude Code and future enterprise AI deployments. The architect will lead threat modelling and security architecture for agentic AI/LLM workloads, define enterprise guardrails and standards for AI tool usage, evaluate and select security tooling (e.g., DLP, API gateway, audit logging), and engage AI vendors (including Anthropic) on security controls and contractual requirements. Requires strong expertise in Zero Trust/SASE and API security, STRIDE threat modelling, security architecture frameworks (SABSA/TOGAF), and knowledge of AI-specific risks (prompt injection, model inversion, data poisoning) plus regulatory awareness (GDPR, EU AI Act, NIST AI RMF).
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Define security standards, patterns, and guardrails for AI tool usage enterprise-wide.
03
Evaluate and select security tooling (DLP, API gateway, audit logging) for AI use cases.
04
Engage with Anthropic and other AI vendors on security controls and contractual requirements.
05
Provide expert input to the AI Governance Committee.
06
Define and evolve the security target operating model for AI.
07
8+ years in cybersecurity, with 2+ years in AI/ML security or LLM deployment.
08
Deep knowledge of Zero Trust, SASE, and API security architectures.
09
Experience with STRIDE threat modelling and security architecture frameworks (SABSA, TOGAF).
10
Knowledge of relevant regulations: GDPR, EU AI Act, NIST AI RMF.
11
Strong stakeholder communication; ability to present to C-suite.
12
Experience with Anthropic Claude API or similar LLM platforms.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Claude Code
Required
02
Anthropic
Required
03
Claude API
Required
04
LLM
Required
05
agentic AI
Required
06
AI governance
Required
07
AI security
Required
08
Zero Trust
Required
09
SASE
Required
10
API security
Required
11
API gateway
Required
12
DLP
Required
13
audit logging
Required
14
STRIDE
Required
15
SABSA
Required
16
TOGAF
Required
17
GDPR
Required
18
EU AI Act
Required
19
NIST AI RMF
Required
20
DevSecOps
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Security architecture (end-to-end design/ownership)
Threat modelling (STRIDE)
Zero Trust architecture
SASE concepts/architecture
API security architecture (authn/authz, gateways, rate limiting, abuse prevention)
AI/LLM security for enterprise deployments (agentic AI workloads)
AI-specific risk knowledge (prompt injection, model inversion, data poisoning)
Security architecture frameworks (SABSA or TOGAF)
Security standards/patterns/guardrails definition
Security tooling evaluation/selection for AI use cases (DLP, API gateway, audit logging)
Regulatory/security governance knowledge (GDPR, EU AI Act, NIST AI RMF)
Stakeholder communication and C-suite presentation
Cybersecurity experience (8+ years) with AI/ML security or LLM deployment exposure (2+ years)
Preferred
Nice to Have
Experience with Anthropic Claude API (or similar LLM platforms)
DevSecOps or secure SDLC background
CISSP certification
CCSP certification
SABSA certification
Experience engaging vendors on security controls and contractual requirements
Experience contributing to AI governance committees / security target operating model
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for AI Security Architect (Enterprise LLM / Claude Code)
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