Ai Compliance And Governance Specialist Job at Sabio Group (London)

Job Description

At Sabio Group, we're building the next generation of AI-powered customer experience for some of the world's most demanding enterprise brands. We deliver significant volumes of agentic AI, LLM and conversational solutions into regulated industries — which means governance and compliance aren't a back-office function for us, they're a competitive advantage and a customer expectation. We're hiring an AI Compliance & Governance Specialist to join our Internal AI Team and add capacity to our existing governance and compliance function. We're already ISO 27001 and SOC 2 Type II certified, we operate under the EU AI Act, and we're working towards ISO 42001. You'll play a key part in evolving that posture — across the solutions we ship to customers, the policies and procedures we run internally, and the way we evidence trust to regulators and clients. This is a hands-on role for someone who is genuinely curious about AI, comfortable using AI tooling to amplify their own output, and thoughtful about how to govern it responsibly. It's a fun, fast-paced environment with a high-growth business area behind it — and a strong remit to shape how AI is built and deployed across the Sabio group.

Job Responsibility

Customer Solution Assurance: 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
Policy, Procedure & Strategy: 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 & Assurance: 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
Responsible AI in Practice: 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
Enablement & Communication: 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
Working with AI: 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

Requirements

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

Nice to have

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

What we offer

Pension Scheme
Remote/Flexible work
Life insurance
Private health and dental care
Cycle to work
28 days paid holiday a year- (this includes three Sabio days)
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