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- Employment
- Permanent Full Time
About the role
Key Responsibilities
- Review and assure the AI solutions we deliver to customers against EU AI Act obligations, ISO 42001 controls, customer-specific regulatory requirements and Sabio's internal standards.
- Partner with delivery teams during discovery, design and deployment to ensure bias, hallucination, prompt-injection, misuse and other AI-specific risks are identified and mitigated by design — not patched in later.
- Support pre-sales and customer conversations on compliance posture, certifications and responsible AI commitments.
- Draft, maintain and evolve internal AI policies, procedures, standards and control frameworks.
- Contribute to the strategic direction of Sabio's AI governance programme — including roadmap to ISO 42001 certification and ongoing alignment with EU AI Act, ISO 27001 and SOC 2 Type II.
- Translate regulatory change (EU AI Act guidance, national implementations, sector-specific rules) into practical, actionable internal guidance.
- Audit Sabio's AI deployment and support methodologies against internal standards and external frameworks.
- Support external audits from customers, certification bodies and regulators — preparing evidence, running walkthroughs and remediating findings.
- Build and report on AI governance KPIs that give leadership and customers a clear, honest view of compliance posture.
- Operationalise responsible AI principles — fairness, transparency, accountability, robustness, human oversight — across solution lifecycles.
- Work with engineering and AI teams on practical mitigations for bias, hallucination, jailbreak resistance, data leakage and acceptable-use boundaries.
- Help define and evolve our approach to evaluation, red-teaming and ongoing monitoring of deployed AI systems.
- Run working sessions, training and clinics that lift AI governance literacy across engineering, delivery, sales and operations.
- Bring people together across geographies and disciplines to land decisions and unblock initiatives.
- Produce high-quality written content — policies, briefings, customer-facing assurance materials, internal comms.
- Use AI tooling (Microsoft Copilot, Microsoft Cowork and others) as a core part of how you deliver — drafting, analysing, summarising, reviewing — to materially amplify your output.
Skills, Knowledge & Expertise
- Demonstrable experience in AI compliance, AI governance or AI risk — either as a dedicated focus or as a major component of a broader compliance, legal, infosec, cyber or engineering role that you've since pivoted toward AI.
- Strong working knowledge of the EU AI Act and a clear understanding of how risk classification, obligations and timelines apply to real-world AI systems.
- Familiarity with ISO/IEC 42001, ISO/IEC 27001 and SOC 2 Type II — what they require, how they interlock, and how to evidence compliance in practice.
- A genuine grasp of the core principles of modern AI: LLMs, prompt engineering, context engineering, retrieval-augmented generation, and agentic frameworks — enough to challenge engineers credibly and apply governance to what's actually being built, not a generic abstraction of it.
- Hands-on experience using AI tooling as part of your day job — using AI co-work / copilots to draft, review, analyse and accelerate your own output.
- Awareness of bias, hallucination, prompt-injection, data leakage and misuse risks in deployed AI systems, with practical experience helping to mitigate them.
- Excellent written and verbal communication — able to draft a board-grade policy, run a workshop, brief a customer auditor and write a sharp internal memo.
- Ability to run meetings, bring groups together and drive outcomes across geographically dispersed teams and different business functions.
- Comfort with high-pace, multi-stakeholder environments — motivated, flexible, and able to build effective working relationships across cultures and time zones.
- A passion for raising the bar in others — coaching, enabling and growing AI governance literacy across the organisation.
- Working proficiency in Spanish alongside English.
- Familiarity with Microsoft Copilot, Microsoft Cowork and the broader Microsoft AI ecosystem.
- Hands-on familiarity with AI offerings from Anthropic, OpenAI, Google and conversational AI platforms such as Cognigy, and a practical sense of how their governance characteristics differ.
- Prior career stage in legal, information security, cyber security, audit or software engineering — now focused on AI governance and compliance.
- Experience supporting customer-facing audits or regulator engagement in a B2B / enterprise context.
- Exposure to AI evaluation, red-teaming or model assurance practices.
- Experience working in or with contact centre, customer experience or other regulated enterprise domains.
- Experience contributing to an ISO 42001 certification journey end-to-end.
- Familiarity with NIST AI RMF, UK AI regulatory developments, or sector-specific AI guidance (financial services, healthcare, public sector).
- Exposure to emerging agent interoperability and safety standards (e.g. MCP, A2A) and human-in-the-loop patterns.
- A track record of writing publicly — blogs, talks, whitepapers — on AI governance, responsible AI or adjacent topics.
Job Benefits
- Remote/Flexible work
- Discovery Medical Aid
- Connectivity Allowance
- 15 days paid holiday a year- (this includes three Sabio days)
- Momentum EAP
Perks & benefits
- Paid Time Off
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