X4 Technology
Responsible AI Lead

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Role: Responsible AI Lead
Programme: Enterprise AI Governance & Adoption
Industry: Global Enterprise
Location: London (Hybrid)
Contract: Initial 6-month contract (long-term transformation programme)
Rate: £700-800/d (inside IR35)
X4 Technology are partnered with a global corporate on a major enterprise-wide AI transformation, supporting the safe, responsible and scalable adoption of AI across its global portfolio.
Joining as Responsible AI Lead, you'll play a pivotal role in establishing and embedding best AI practices across the organisation - combining deep expertise in AI governance, risk management and ethics with the ability to influence senior stakeholders and enable innovation at scale.
You'll act as the enterprise Responsible AI SME and AI Steward for high-risk and business-critical AI solutions, ensuring AI systems are designed, developed and deployed in alignment with organisational values, regulatory requirements and Responsible AI principles.
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
Why you're a good match
StrongYour 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.
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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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities:
- Own AI principles, standards, controls and assessment criteria across the AI portfolio
- Lead AI reviews covering fairness, bias, explainability, transparency, safety and unintended consequences
- Embed AI controls across AI lifecycle, governance, approval and risk management processes
- Advise senior stakeholders on AI regulation, compliance, risk mitigation and responsible adoption
- Develop practical guidance, playbooks and training to enable safe AI innovation at scale
Requirements:
- Proven background across AI/ML, AI governance, model risk, technology risk or data science
- Strong expertise in AI ethics, fairness, explainability, transparency and safety
- Hands-on experience with AI risk frameworks and regulations
- Ability to translate policy and regulatory requirements into practical enterprise controls
- Strong senior stakeholder management and influencing experience within complex or regulated environments


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High-profile opportunity to shape AI best practice at enterprise scale, sitting at the intersection of AI innovation, governance, risk and regulation. You'll have genuine influence over how AI is assessed, governed and adopted across a global organisation.
Initial 6-month contract with long-term programme scope, hybrid in London. Interviews are being scheduled immediately, so please apply now for immediate consideration.
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