AI Security Engineer
PA Consulting is hiring an AI Security Engineer. Level rates it ; you can apply on PA Consulting.
Level's read on this job
- Works on AI ●●●○ is how Level rates this cybersecurity role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include RAG.
- Level classifies it as a senior role.
- Level lists 198 other open roles at PA Consulting.
AI in this role
We believe in the power of ingenuity to build a positive human future.
As strategies, technologies, and innovation collide, we create opportunity from complexity.
Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.
Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.
PA. Bringing Ingenuity to Life.
Hybrid working - our approach is to be in the office a minimum of 2 days per week.
PA’s IT team, internally known as Group Systems, is comprised of a variety of areas that support the wider firm, consisting of four key pillars: Strategy, Architecture and Infrastructure Services; Enterprise Solutions; Technology and Operations; and Cyber Security and Compliance.
The successful candidate will be covered two primary areas: the security of AI (protecting the organisation's own AI systems and use of AI) and AI for security (using AI to strengthen protection, detection and response). This role will sit within Cyber Security and Compliance.
Technical ownership of AI security tool selection and deployment
Define requirements, run structured evaluations and proofs of concept, and judge vendor claims on evidence rather than marketing.
That means measuring detection efficacy, false positive rates, latency and operational overhead. The tool categories to cover include AI security posture management, LLM guardrails and firewalls, model and supply-chain scanning, GenAI data loss prevention, and AI-enabled SOC tooling.
They should also own the deployment itself: integration with existing SIEM, SOAR, EDR and identity tooling, architecture decisions, and making sure the tools are tuned and producing value after go-live rather than becoming shelfware.
Input to vendor risk assessments fits here too, particularly on how vendors handle your data in their own models.
Understanding the AI threat landscape
They need a working knowledge of AI-specific attack techniques and should be fluent in the reference frameworks, mainly the OWASP Top 10 for LLM Applications and MITRE ATLAS. Key threats include:
- Direct and indirect prompt injection
- Data and model poisoning
- Sensitive data leakage through prompts and outputs
- Model theft and extraction
- Malicious model files in the supply chain
- The growing set of risks from agentic AI, such as excessive permissions and tool misuse
They also need to understand how attackers use AI against the organisation (more convincing phishing, deepfake-enabled fraud, faster reconnaissance and exploit development) and how that changes your threat model. Shadow AI, meaning unsanctioned use of AI tools by staff, is a practical, near-term issue they should be able to discover and manage.
Demonstrating AI in protection, detection and response
This is where the role earns its keep with stakeholders. In protection, that might mean AI-assisted vulnerability prioritisation, secure code review, or posture analysis. In detection, it covers behavioural anomaly detection, alert triage and enrichment, and LLM-assisted threat hunting. In response, it includes AI copilots for investigation and incident summarisation, automated playbooks, and agentic response actions.
A good candidate will be clear-eyed about limits: where human-in-the-loop controls are needed, how to validate AI outputs, and how to avoid automating mistakes at speed. The ability to build or run demonstrators that show value concretely is a strong differentiator.
Assurance and testing
The role should include adversarial testing and red teaming of the organisation's AI systems, whether done directly or by scoping and overseeing third parties. Examples are testing RAG applications for injection and data exposure, or checking that an agent can't be manipulated into acting outside its intended permissions.
Alignment with governance and standards
This isn't primarily a governance role, but the engineer should translate frameworks into technical controls and evidence. The relevant reference points are:
- NCSC's Guidelines for Secure AI System Development
- The UK government's AI Cyber Security Code of Practice
- NIST AI RMF
- ISO/IEC 42001
- The EU AI Act, where relevant to clients or operations
Skills and background
The ideal profile is a security engineer (typically from cloud security, security architecture, or SOC engineering) who has built genuine ML and LLM literacy. That means understanding how models, RAG pipelines and agents work, reasonable Python or scripting ability, and cloud platform experience. Communication matters more than usual: this person will regularly need to explain AI risk and capability to non-specialist decision-makers without overselling or scaremongering.
Measures of success
Useful indicators:
- Tools selected and deployed against defined requirements, with measurable outcomes (reduced triage time, improved detection coverage)
- An AI asset inventory and threat model in place
- AI systems tested before deployment
- Demonstrators that have influenced investment or adoption decisions
We know the skill-gap and ‘somewhat need to tick every box’ can get in the way of meeting brilliant candidates, so please don’t hesitate to apply – we’d love to hear from you.
Apply today by completing our online application
Please be aware that some of our UK roles at PA Consulting require a UK security clearance.
All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK.
We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government’s guidance on security vetting before applying.
Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity – bringing ingenuity to life.
Find out more about Life at PA here.
We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits:
- Health and lifestyle perks accompanying private healthcare for you and your family
- 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days
- Generous company pension scheme
- Opportunity to get involved with community and charity-based initiatives
- Annual performance-based bonus
- PA share ownership
- Tax efficient benefits (cycle to work, give as you earn)
We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups.
Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
#LI-HM3
How we rate this
AI Security Engineer at PA Consulting rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in cybersecurity jobs at this level
Pay
- Typical cybersecurity job
- $159k
This posting doesn't list pay. Use the typical cybersecurity figure when pay comes up. See cybersecurity jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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