Sabio Group

Role Description We are currently looking for a passionate and enthusiastic AI Solutions Specialist to join our Team. The AI Solutions Specialist is a key technical leader within Sabio’s Pre-sales function, driving the design and delivery of enterprise-scale AI and CX solutions. You will act as a trusted advisor to clients, leading discovery workshops, validating architectures, and translating AI capability into measurable business outcomes. This role combines deep technical expertise with strong commercial acumen and executive-level presentation skills, making you central to Sabio’s success in competitive sales cycles. Key Responsibilities - Lead discovery sessions with enterprise clients to uncover opportunities and map AI to business needs. - Design and validate end-to-end AI and automation architectures, ensuring scalability, resilience, and security. - Own technical & operational service responses for proposals, RFPs, and pitches, ensuring clarity and credibility. - Deliver engaging demonstrations and presentations that showcase ROI and competitive advantage. - Act as an AI authority during sales cycles, influencing deal strategy and client positioning. - Partner with Solution Engineers on proofs-of-concept and demos under time-sensitive conditions. - Provide customer and market insights to inform Sabio’s product and proposition roadmap. - Mentor junior and associate colleagues, building capability across the Presales team. Qualifications - Strong technical expertise in AI and CX solutions. - Excellent commercial acumen and executive-level presentation skills. - Ability to lead discovery sessions and validate architectures. - Experience in delivering engaging demonstrations and presentations. - Proven ability to influence deal strategy and client positioning. - Experience in partnering with Solution Engineers on proofs-of-concept. - Strong mentoring skills to build capability in the team. Benefits - 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) - LinkedIn Learning - Plus many more! (Benefits are dependant on your base location.)

Role Description We are currently looking for a passionate and enthusiastic Genesys Cloud Consultant to join our Team. You will play an important role in driving change within our business, joining a department that is continually on a journey of change. - The candidate will be integrated in a high skilled team that deploys and maintains Genesys IVR’s, reporting, and omni-channel solutions, as well as Call Recording, Workforce Management Solutions, and CRM systems from other leading software manufacturers. - Work with the team to design and build: - Deployment of multi-country projects based on Genesys Cloud with CRM solutions such as Dynamics, etc. - Integrate with Call Recording, Workforce Management Solutions and CRM systems from other leading software manufacturers. - Flow design with Architect. - Integration with third-party systems using web services. - Report generation (real time and historic). - Creation and modification of scripts with Genesys Cloud. Qualifications - Knowledge of the following Genesys Cloud CX tools and modules: - Basic configuration: agents, groups, skills, roles, etc. - Routing: incoming and outgoing call strategies. - Telephony: sites, edges, trunks, outbound routes. - Scripting. - Architect: design of voice flows and digital channels, bot, integrations with DialogFlow, and with external systems via data actions. Data Tables. - Data Actions: design and construction of webservices to external systems. - Campaigns of various types (progressive, preview, power). - Real-time reporting. - Digital channels: Email, Chat, integration with a social network (Whatsapp, Facebook, Twitter). - Experience working on projects. - Spanish fluency both written and spoken. Requirements - Nice to Have: - Certifications of Genesys Cloud (GCP-CX). - Experience with Single Sign-ON (SSO). - Integrations with Embeddable Framework with other CRM: Salesforce, Microsoft Dynamics 365. - Integration with external reporting tools (PowerBI). - Knowledge and exploitation of the Genesys API, Process Automation (triggers) and use of Workflows for more complex implementations. - Knowledge of software programming: C, Java, Javascript, .Net. - Experience working in Support. - Experience working with Agile Methodologies (specifically Scrum). Benefits - This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in the company. - Benefits may include: - Pension Scheme. - Remote/Flexible work. - Life insurance. - Private health. - Plus many more! (Benefits are dependent on your base location.)

Role Description We are currently looking for a passionate and enthusiastic Project Manager to join our Team. The Project Manager will lead end-to-end delivery of AI-powered customer service bot solutions within contact center environments. This role involves managing cross-functional teams through all phases of the project lifecycle—from requirements gathering to post-production support—ensuring timely delivery, quality outcomes, and alignment with business goals. Key Responsibilities - Lead project planning, execution, and delivery of AI agent solutions. - Coordinate with stakeholders to define project scope, goals, and deliverables. - Manage timelines, resources, budgets, and risks across multiple projects. - Facilitate collaboration between engineering, data science, UX, and operations teams. - Ensure compliance with technical and business requirements. - Monitor and report on project progress, KPIs, and milestones, including project financials. - Drive continuous improvement and post-deployment optimization. Qualifications - Proven experience managing AI or software development projects. - Strong understanding of conversational AI, NLP, and contact center technologies. - Excellent communication and stakeholder management skills. - Ability to translate business needs into technical requirements. - Experience with Agile/Scrum methodologies. - Fluency in English; Spanish is a strong advantage. - AI/NLP platforms (e.g., Dialogflow, Azure Bot Services, Rasa). - Project management tools (e.g., Jira, Trello, Asana). - Cloud platforms (e.g., Azure, AWS, Google Cloud). - CI/CD tools and DevOps practices. - CRM and contact center systems (e.g., Genesys, Salesforce). - Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. - Master’s degree is a plus. - PMP, PRINCE2, or equivalent project management certification. - Agile/Scrum certification (e.g., Certified ScrumMaster) preferred. Benefits - This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in the company. - Pension Scheme. - Remote/Flexible work. - Life insurance. - Health Insurance. - 25 days paid holiday a year. - Plus many more! (Benefits are dependent on your base location.)

Role 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 the legal and contractual underpinnings of how we sell, deliver and partner on AI are both a competitive advantage and a customer expectation. We're hiring a Privacy and AI Counsel to join our legal team and partner closely with our Information Security and AI Compliance & Governance functions. As part of this role you will: - Own the legal side of how global AI regulation and data protection flows through Sabio's commercial relationships; customer contracts, partner and reseller agreements, supplier and model-provider terms. - Be a key legal voice on EU AI Act readiness and implementation, ISO 42001 alignment, and the broader regulatory landscape shaping how we deliver AI to clients while meeting our regulatory obligations. - Help translate ISO 27001 and SOC 2 Type II certification posture into contractual language, negotiation positions and legal strategy. - Work in a fast-moving, high-growth business area with a strong remit to shape how AI is built, sold and supported across the Sabio Group. Key Responsibilities - Customer & Partner Contracts: - Draft, review and negotiate AI-specific terms in customer contracts such as IP ownership of inputs/outputs, training data rights, model use restrictions, acceptable use, liability and indemnity positions, performance and uptime, data residency, sub-processing, exit and transition. - Partner, reseller and channel agreements, including with hyperscalers and AI platforms (Microsoft, Google, Anthropic, OpenAI, Cognigy and others), understanding the commercial and legal nuances of each provider's terms. - Continued development and maintenance of Sabio's AI contracting playbook, including standard clauses, fallback positions, negotiation guidance and risk-tiered approval matrices. - Support French and/or Spanish commercial contracting during high-volume periods to deliver increased sales bookings. - AI Regulatory & Compliance: Legal View: - Act as the legal lead on EU AI Act obligations, advising on risk classification of solutions, provider/deployer responsibilities, transparency, due diligence, CE marking and registration, post-market monitoring and incident reporting. - Partner with the AI Compliance & Governance Specialist on ISO 42001 roadmap, evidencing legal controls, and aligning contractual commitments with operational reality. - Track and translate emerging AI regulation across our operating jurisdictions (UK, EU, Spain, France, South Africa) into actionable legal guidance and policy updates. - Advise on intersections with data protection legislation, IP law, consumer protection and sector-specific regimes where they touch AI. - IP, Data & Risk: - Advise on intellectual property in AI contexts, including use of third-party content, use of training data, ownership and licensing of models, prompts, fine-tunes, embeddings, datasets and generated outputs. - Work with the AI Compliance & Governance Specialist on AI risk assessments. - Work with information security on data protection impact assessments. - Advise on and execute Data Subject Request responses. - Advise on international data transfers, related transfer impact assessments and ongoing data protection obligations. - Audit, Disputes & Incident Response: - Support customer audits, regulator engagement and certification bodies on legal and contractual matters. - Lead the legal response to AI and data related incidents, complaints or disputes, coordinating response across information security, operations and customer teams. - Enablement & Communication: - Run training and clinics that lift legal and contracting literacy across sales, delivery, AI and partnership teams. - Bring people together across geographies and disciplines to land negotiation positions and unblock deals. - Produce high-quality written content — playbook entries, position papers, customer-facing legal materials, internal briefings. Qualifications - Qualified lawyer in a relevant jurisdiction (UK solicitor, Spanish abogado, French avocat or equivalent). - Able to work autonomously (3-5 years PQE). - Fluent in English and either French or Spanish. Working proficiency in all three is a strong advantage. - Demonstrable experience drafting and negotiating technology, software, SaaS or services contracts in a B2B / enterprise setting, including AI-specific terms and closely adjacent ones (data protection, DORA, EBA). - Strong working knowledge of the EU AI Act and a clear understanding of how risk classification, obligations and timelines translate into contractual and legal positions. - The GDPR, as well as local data protection laws such as LOPDGDD/Loi Sapin II/UK GDPR, Data Use and Access, etc. (depending on location). - Awareness of AI-specific risks and how to allocate them contractually. - Understanding of core principles of modern AI to negotiate credibly with technical counterparts and write contractual language that reflects how AI systems behave. - Hands-on experience using AI tooling for professional purposes, such as using AI co-work / copilots to draft, review, redline, analyse and accelerate your own output. - Familiarity with ISO/IEC 42001, ISO/IEC 27001 and SOC 2 Type II at the level needed to align contracts and customer commitments to certification posture. - Excellent written and verbal communication. Able to draft a precise contractual clause, run a negotiation, brief a customer's counsel and write a relevant internal note. - Ability to run meetings, bring groups together and drive outcomes across geographically dispersed teams and different business functions. - A passion for raising the bar in others. You will deliver training and coaching, enabling and growing legal/commercial literacy across the organisation. Desirable - In-house experience in a technology, SaaS, AI, contact-centre or consulting business. - Direct experience negotiating with hyperscalers and AI platforms (Microsoft, Google, AWS, Anthropic, OpenAI, Cognigy and similar). - Experience supporting customer audits, working with certification bodies and managing regulator engagement on legal matters. - Exposure to IP licensing, open-source compliance or content rights. - Familiarity with Microsoft Copilot, Microsoft Cowork and the broader Microsoft AI ecosystem. Location & Working Pattern This role can be office or home based in any of: - Spain - able to travel easily to Madrid - France - able to travel easily to Paris - UK - able to travel easily to London or Glasgow Sabio is a geographically dispersed organisation, so you'll be comfortable working with colleagues across multiple locations and the nuances of different cultures and working styles. Occasional travel between Sabio locations and to customers should be expected. Benefits - Pension Scheme - Remote/Flexible work - Life insurance - Private health - Plus many more! (Benefits are dependant on your base location.) The Small Print Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.

Role 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. 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. Key Responsibilities - 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. Qualifications - 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. Requirements - 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. Benefits - Remote/Flexible work - Discovery Medical Aid - Connectivity Allowance - 15 days paid holiday a year (this includes three Sabio days) - Momentum EAP The Small Print Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.

Role Description At Sabio Group, we build and operate AI-powered customer experience platforms for some of the world's most demanding enterprise brands. As we push deeper into agentic AI, multi-cloud architectures and high-volume conversational systems, the attack surface evolves with us — and we need people who can think like adversaries to keep our customers, our data and our reputation safe. We're hiring a Red Team Security Engineer to join our Information Security & Cyber Security team in South Africa. You'll be the offensive counterpart to our defensive function: stress-testing the solutions we design, build and operate — from cloud-native services to LLM-powered agents — by attacking them the way a real adversary would, and partnering with engineering teams to fix what you find. This is a hands-on role for someone who is genuinely curious about how systems break, comfortable writing code as well as reading it, and excited about the new class of vulnerabilities emerging in AI and agentic systems. Qualifications - Demonstrable hands-on experience in offensive security — penetration testing, red teaming, or adversary simulation — against modern web, API and cloud-based systems. - Strong understanding of common vulnerability classes (OWASP Top 10, authZ flaws, SSRF, deserialization, injection, cryptographic misuse) and how to chain them into real impact. - Solid grasp of cloud security in at least one major provider (AWS, Azure or GCP): IAM, networking, key management, container and serverless services, common misconfigurations and attack paths. - Practical understanding of AI/LLM systems — how they work, where they fail, and the new risks they introduce (prompt injection, jailbreaks, insecure tool use, training/RAG data exposure). - Coding capability in at least one of Python, Go, JavaScript/TypeScript or similar — comfortable writing exploits, tooling and automation, not just running other people's tools. - Confidence with offensive tooling — Burp Suite, nmap, Nuclei, BloodHound, Metasploit, custom scripts — and the judgement to know when to build vs. buy. - Familiarity with CI/CD, containers and IaC (Docker, Kubernetes, Terraform or equivalent) and how to attack and defend them. - An evaluation mindset: you measure security posture with reproducible tests, metrics and evidence — not gut feel. - Comfort with agentic development workflows — using AI coding assistants and AI co-work / pair-development models (Claude Code, Copilot, Cursor or equivalent) as part of your day-to-day delivery. - Clear written and verbal communication in English: able to brief engineers, executives and (where relevant) customers on findings and risk. - A strong ethical compass and discipline around scope, rules of engagement, evidence handling and responsible disclosure. Requirements - Plan and execute red team engagements, penetration tests and adversary simulations against our platforms, products and corporate environment. - Identify, exploit and document vulnerabilities across web applications, APIs, cloud infrastructure, identity systems and AI/LLM-based services. - Develop realistic attack scenarios — initial access, privilege escalation, lateral movement, data exfiltration — mapped to frameworks such as MITRE ATT&CK. - Build and maintain custom tooling, exploits and automation where off-the-shelf tools fall short. - Leverage AI pen testing tooling and frameworks as a force amplifier within your role. - Active, hands-on use of AI-powered offensive security tooling as a core part of your workflow — leveraging LLMs and agentic assistants to accelerate reconnaissance, exploit development, code review, payload generation and report writing. - Familiarity with emerging AI red-team frameworks and platforms — e.g. PyRIT, Garak, Promptfoo, NVIDIA Aegis, Microsoft Counterfit, HackerOne / Bugcrowd AI testing toolkits, or equivalent — and a practical sense of when to use which. - Experience building or extending automated AI red-team harnesses: prompt-injection test suites, jailbreak corpora, tool-abuse scenarios, multi-turn attack agents, and regression eval sets for LLM and agentic systems. - Pragmatic judgement on the limits and risks of AI-assisted offensive work — hallucinated findings, false confidence, data leakage into third-party models — and the discipline to validate AI output before acting on it. - Curiosity to keep pace with a fast-moving space: new models, new attack techniques, new defensive controls — and a willingness to bring those learnings back into the team. - Probe LLM-powered and agentic systems for prompt injection, jailbreaks, tool/function-call abuse, context leakage, insecure output handling and supply-chain risks. - Test RAG pipelines, knowledge bases and integrations for data exfiltration, poisoning and unauthorized access paths. - Contribute to internal threat models for agentic architectures and help shape secure-by-default patterns for multi-agent and tool-using systems. - Stay close to evolving standards and guidance (e.g. OWASP Top 10 for LLMs, NIST AI RMF, emerging agent interoperability protocols). - Perform deep-dive security testing of cloud workloads across AWS, Azure and/or GCP — IAM, network, container, serverless and data-layer concerns. - Review CI/CD pipelines, IaC (Terraform, CloudFormation, Bicep) and Kubernetes deployments for misconfigurations and exploitable weaknesses. - Conduct source-assisted ("grey-box") testing — reading code to find logic flaws, authZ gaps and unsafe integrations. - Triage findings, assign realistic severity, and write clear, reproducible reports with concrete remediation guidance. - Partner with engineering teams to validate fixes, advise on secure design and pair on hardening work — not just throw findings over the wall. - Drive continuous improvement of detection coverage by working with the blue team / SOC on purple-team exercises. - Build automation that turns one-off tests into repeatable, scheduled checks — exposure scanning, attack-path analysis, agent red-teaming harnesses. - Integrate offensive testing into the SDLC: SAST/DAST/IAST, dependency scanning, secrets detection, container and IaC scanning. - Treat evaluation and regression of security controls as a first-class deliverable — measured, not assumed. - Work alongside the Head of Information Security, AI Ethics leads, platform engineering and product teams to embed security early. - Produce clear design reviews, threat models, runbooks and post-engagement reports for both technical and executive audiences. - Operate within strict rules of engagement, with care for production stability, customer data and legal/regulatory obligations. Benefits - Remote/Flexible work - Discovery Medical Aid - Connectivity Allowance - 15 days paid holiday a year (this includes three Sabio days) - Momentum EAP

Role Description We are currently looking for a passionate and enthusiastic Data & BI Engineer (Mid-Level) reporting into our Global Data Integration and Systems Manager. This role combines data engineering and business intelligence development, with responsibility for building scalable data pipelines, integrating enterprise systems such as ServiceNow and Salesforce, and delivering high-quality reporting and insights through Power BI. The successful candidate will play a key role in shaping Sabio’s data landscape, ensuring data is reliable, accessible and optimised for business decision-making. Key Responsibilities - Data Engineering - Design, build, and maintain scalable data pipelines across multiple systems - Develop and manage ETL/ELT processes to ensure high-quality, reliable data - Integrate data from enterprise platforms including ServiceNow, Salesforce and other systems - Implement and support modern data platforms, including Microsoft Fabric - Apply medallion architecture principles (Bronze, Silver, Gold layers) to structure and optimise data flows - Ensure data governance, security and performance standards are met - Business Intelligence & Reporting - Design, develop, and maintain Power BI dashboards and reports - Build and maintain semantic models, measures and calculated logic (DAX) - Translate business requirements into scalable data models and visualisations - Optimise report performance, usability and consistency - Deliver actionable insights to support business decision-making - Data Management & Quality - Ensure accuracy, completeness and integrity of data across systems - Manage data pipelines and support data quality frameworks - Identify and resolve data issues, inconsistencies and gaps - Continuously improve data processes and reporting workflows - Stakeholder Engagement - Work closely with business stakeholders to gather reporting requirements - Collaborate with cross-functional teams across technology and operations - Present insights clearly to both technical and non-technical audiences - Support adoption and effective use of dashboards and reporting tools Qualifications - Experience in data engineering and/or BI development roles (3–6 years typical) - Strong experience with Power BI (dashboard development, DAX, modelling) - Strong SQL skills for querying and transforming data - Experience integrating Salesforce data - Experience working with ServiceNow data or APIs - Experience designing and managing ETL/ELT pipelines - Solid understanding of data modelling (star schema, dimensional modelling) - Strong analytical and problem-solving skills - Excellent communication skills with stakeholders Requirements - Experience with Microsoft Fabric - Understanding of medallion architecture (Bronze, Silver, Gold layers) - Experience with cloud platforms (Azure preferred) - Experience working with APIs and automation - Exposure to Certinia / financial or resource management data - Background in telecoms, services or consulting environments Personal Attributes - Highly detail-oriented with strong focus on data accuracy - Proactive, self-driven and solution-focused - Strong collaboration and stakeholder engagement skills - Comfortable working in a fast-paced, evolving environment Benefits - 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) - LinkedIn Learning - Plus many more! (Benefits are dependant on your base location.)

Role Description As a Senior Software Engineer within the AI Practice, you will play a key hands-on role in designing, building and operating secure, scalable and highly automated software solutions for our customers. - Bring a strong DevOps mindset, taking ownership of solutions across the full lifecycle — from design and build through deployment, monitoring and continuous improvement. - Customer-facing and delivery-focused, working on AI-enabled and cloud-native solutions using modern, automation-first engineering practices. Key Responsibilities - Design, build and maintain high-quality software solutions using modern programming languages, cloud platforms and DevOps tooling. - Apply a DevOps and automation-first approach across infrastructure provisioning, CI/CD, deployment, testing and operations. - Engineer secure, scalable and observable systems using modern DevOps practices, including infrastructure as code and automated quality controls. - Take ownership of services in production, including monitoring, troubleshooting, performance tuning and reliability improvements. - Work directly with customers to understand requirements, shape technical solutions and clearly communicate progress, risks and outcomes. - Troubleshoot complex issues across application code, integrations, infrastructure and cloud services. - Contribute to shared DevOps tooling, reusable components, infrastructure-as-code patterns and engineering standards within the AI Practice. - Collaborate closely with other engineers and delivery leads to ensure high-quality, on-time delivery. - Continuously evaluate and adopt new DevOps tools, technologies and patterns to improve delivery efficiency and platform reliability. Qualifications - Strong experience as a Senior Software Engineer working across multiple technology stacks. - Proven DevOps experience, with a strong automation-first engineering mindset. - Experience designing, deploying and supporting production systems using CI/CD pipelines and infrastructure as code. - Ability to rapidly learn new technologies and apply them effectively in customer environments. - Excellent problem-solving and troubleshooting skills across software, infrastructure and cloud platforms. - Strong written and verbal communication skills, including confidence in customer-facing roles. - Hands-on experience with: - Infrastructure as Code (Terraform, Ansible or similar) - CI/CD pipelines and DevOps tooling - C# (.NET 8+) and/or Java (Spring) - JavaScript using a modern framework (React, Angular or similar) - Bash and PowerShell - AWS, ideally including Amazon Connect - Containerisation and orchestration (Docker, Kubernetes) - Linux environments Nice to Have - Experience with relational databases such as MSSQL - Experience with Redis or similar caching technologies - Exposure to Azure - Exposure to Google Cloud Platform (GCP) - Experience with Go - Experience with VMware - Telephony or IVR experience Benefits - Pension Scheme - Remote/Flexible work - Life insurance - Private health - Plus many more! (Benefits are dependant on your base location.)

Role Description We are currently looking for a passionate and enthusiastic AI Linguist to join our Team. The AI Linguist will join our customer service bot/AI agent development team for contact center environments, contributing across the full project lifecycle: - Requirements gathering - Conversation design - Development - Unit & integration testing - Deployment - Post‑production support You will craft user intents, dialogue flows, prompts/guardrails, and linguistic resources; train/evaluate NLU/LLM-based components; and continuously optimize performance, accuracy, and customer experience in Spanish (and other supported languages). Qualifications - Participation in bot projects (voicebots, chatbots, virtual assistants, etc.) involving conversational flows, open questions, automation, NLU technologies (voice recognition, classification, voice synthesis), and generative AI. - Experience in customer relations, requirements gathering, design, validation, etc. - Experience in recognition models (SST, TTS, NLU) as well as in their training or continuous improvement: Microsoft STT, MS LUIS/CLU, Google, Amazon, Nuance Recognizer. - Experience in improving UX at the design, development, analysis, and continuous improvement levels of NLP associated with bots. - Experience in designing, writing, and improving AI prompting under different LLM models. - Ability to analyze and participate in consulting projects where customer automation bot services have been analyzed, evaluating KPIs, and a proposal for improving their systems and services has been developed. Requirements - What extra would be desirable: - Development of bots or agents using generative AI technologies such as AI Agentics architecture, Google Conversational Agent with Playbooks, Google AI Studio, Gemini, OpenAI, Amazon Bedrock, Microsoft Azure AI, other AI architectures, or LLMs. - Bot development using conversation technologies such as DialogFlow, Genesys Dialog Engine, Nuance Mix, Microsoft Bot Framework, and VXML. - Knowledge and experience in programming and scripting (Javascript/Node, Python, Java bash, etc.). - Proficiency and experience with project development tools and methodologies. IDEs, code repositories (mainly git), Agile. Benefits - Pension Scheme - Remote/Flexible work - Life insurance - Private health - Plus many more! (Benefits are dependent on your base location.)

Role Description We are seeking an exceptional, UK-based Lead Consultancy Director to lead, professionalise and scale Sabio’s Consulting & Advisory business across AI & Automation, Data & Insights, and Operational Customer Experience (CX). This is a senior, revenue-generating leadership role with full accountability for shaping the proposition, driving sales performance, delivering high-impact client engagements, and building a high-performing consultancy team. The successful candidate will combine strategic vision with hands-on delivery and commercial drive — operating as both a hunter (new logo acquisition and market expansion) and a farmer (growing and deepening existing client relationships). This role is critical to Sabio’s next phase of growth. The Lead Consultancy Director will transform Consulting & Advisory into a scalable, profitable, high-impact capability that: - Differentiates Sabio in the market - Drives upstream value creation - Unlocks downstream transformation and managed service opportunities - Strengthens strategic client relationships For the right candidate, this is a platform-building opportunity — with scope to shape a national offering and scale into Europe over time. Qualifications - Significant senior consultancy leadership experience within a recognised consulting firm or high-growth consultancy environment. - Proven track record of building, leading and scaling a consulting practice. - Strong knowledge of the Customer Experience (CX) market, including AI, automation and data-led transformation. - Full commercial acumen, including P&L ownership and margin management. - Ability to engage credibly and confidently at C-level and Board level. Requirements - Demonstrable experience in both: - Hunter capability: driving new business, opening new markets, winning complex consulting deals. - Farmer capability: expanding accounts, driving repeat business and growing managed services from advisory engagements. - Experience collaborating effectively with sales functions to build pipeline and close deals. Benefits - 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) - LinkedIn Learning - Plus many more! (Benefits are dependent on your base location.)