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PRACYVA

Security Architect ( AI Platform)

Sheffield
Posted 1 day ago
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Key Responsibilities

  • Lead threat modelling and architecture design for Claude Code and agentic AI workloads.
  • Define security standards, patterns, and guardrails for AI tool usage enterprise-wide.
  • Evaluate and select security tooling (DLP, API gateway, audit logging) for AI use cases.
  • Engage with Anthropic and other AI vendors on security controls and contractual requirements.
  • Provide expert input to the AI Governance Committee.
  • Define and evolve the security target operating model for AI.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

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Required Skills / Experience

  • 8+ years in cybersecurity, with 2+ years in AI/ML security or LLM deployment.
  • Deep knowledge of Zero Trust, SASE, and API security architectures.
  • Experience with STRIDE threat modelling and security architecture frameworks (SABSA, TOGAF).
  • Familiarity with AI-specific risks: prompt injection, model inversion, data poisoning.
  • Knowledge of relevant regulations: GDPR, EU AI Act, NIST AI RMF.
  • Strong stakeholder communication; ability to present to C-suite.

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Desirable Skills / Experience

  • CISSP, CCSP, or SABSA certification.
  • Experience with Anthropic Claude API or similar LLM platforms.
  • Background in DevSecOps or secure SDLC.
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Skills

Cybersecurity
AI/ML Security
LLM Deployment
Zero Trust
SASE
API Security
STRIDE Threat Modelling
SABSA
TOGAF
Prompt Injection
Model Inversion
Data Poisoning
GDPR
EU AI Act
NIST AI RMF
DevSecOps

Location

Sheffield, England, United Kingdom

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