Experis
Job Description: Cybersecurity Consultant (Cloud, Data, AI & Microsoft Security) Department: Information Security - (Data & AI team) Duration: Duration 4 months Location : London (Hybrid) Role Overview We are looking for a highly skilled Cybersecurity Consultant with strong expertise across Microsoft Security , Cloud Security , Data Protection , and emerging AI/LLM security and governance . The role focuses on identifying security gaps, defining secure-by-design patterns, supporting product and platform teams, and strengthening enterprise security posture-particularly across Microsoft 365, Azure, data platforms, and AI-enabled solutions. You will play a key role in threat modelling, risk assessments, guardrail design & implementation, and delivering practical security guidance for engineering, data, and application/product teams. Rationale/deliverables: Contribute to the Operating Securely program by providing information security advice and support to product and engineering teams and validate that security controls are in place and issues / vulnerabilities remediated Perform technical risk assessments for proposed new and changing systems, including products that are designed and built by the client as well as the secure deployment and configuration of business applications that report on and analyse data, e.g. Power BI Perform technical risk assessments and advise product and engineering teams on the secure implementation of AI based solutions, e.g. autonomous AI agents, LLMs, LRMs, and AI-enhanced productivity systems Support the roll-out of the new AI information security control framework Support the Data governance team Key Responsibilities Perform threat modelling (STRIDE), guardrail definition, and security posture assessments across applications, data platforms, APIs, cloud services, and SaaS ecosystems. Identify security control gaps , especially around data pipelines, repositories, network security, API security, middleware, and cloud architectures. Conduct technical security risk assessments , produce risk statements/reports, and support teams with remediation and mitigation strategies. Develop security controls, standards, and documentation for product teams, platform engineering, and data services (e.g., pipelines, warehouses, data sources). Provide expert guidance on Microsoft Security Stack , including: Microsoft Defender (XDR, MDE, MDI) Microsoft Entra ID (SSO, MFA, Conditional Access, PIM) Microsoft Purview (DLP, Information Protection, Data Governance, DSPM) Microsoft 365 Copilot & GitHub Copilot security enablement Partner with data governance, platform engineering, DevOps, and architecture teams to embed secure-by-design Support secure adoption of cloud-native technologies (Azure), DevSecOps pipelines, GitOps practices, and GitHub Advanced Security (GHAS). Oversee security controls for cryptography, key management, secrets management, HSM/Key Vault configurations , and cloud network security (firewalls, proxies, segmentation). Drive secure integration of AI/LLM tools , including Copilot, Azure OpenAI, and agentic systems-ensuring proper guardrails, risk assessments, and data protection. Participate in cloud monitoring, detection & incident response , working with SIEM/XDR tooling and platform/application teams. Collaborate closely with data governance to ensure appropriate classification, labeling, access control, and lifecycle management of sensitive data. Essential Skills & Experience Strong understanding of security frameworks (CIS), MITRE ATT&CK, and AI/LLM security frameworks. Hands-on experience with Azure cloud security , DevSecOps, and cloud-native architectures. Expertise with Microsoft 365 Security and Azure Security Strong knowledge of IAM (SSO, MFA, Conditional Access, AAD/Entra, PIM). Experience delivering data security , DLP, DSPM, and governance controls using Microsoft Purview. Practically skilled in AI security , including risk identification, secure integration patterns, and AI governance models. Experience with cloud monitoring, incident response, SIEM/XDR operations. Ability to translate complex security risks into clear business language and actionable recommendations. Desirable Skills Experience with secure data platforms (Azure Data Factory, Data Lake, SQL, or similar). Knowledge of API, container security, Kubernetes, and infrastructure-as-code security. Familiarity with PCI, GDPR, data privacy requirements, and compliance frameworks. Exposure to adaptive protection, insider risk management, and automated DLP frameworks. Personal Attributes Strong communicator able to work across engineering, data, product, and business teams. Highly analytical with a structured approach to problem-solving. Comfortable in fast-paced environments undergoing modernization and AI adoption. Ability to influence teams and drive secure-by-design culture across the organization
Job Description: Cybersecurity Consultant (Cloud, Data, AI & Microsoft Security) Department: Information Security - (Data & AI team) Duration: Duration 4 months Location : London (Hybrid) Role Overview We are looking for a highly skilled Cybersecurity Consultant with strong expertise across Microsoft Security , Cloud Security , Data Protection , and emerging AI/LLM security and governance . The role focuses on identifying security gaps, defining secure-by-design patterns, supporting product and platform teams, and strengthening enterprise security posture-particularly across Microsoft 365, Azure, data platforms, and AI-enabled solutions. You will play a key role in threat modelling, risk assessments, guardrail design & implementation, and delivering practical security guidance for engineering, data, and application/product teams. Rationale/deliverables: Contribute to the Operating Securely program by providing information security advice and support to product and engineering teams and validate that security controls are in place and issues / vulnerabilities remediated Perform technical risk assessments for proposed new and changing systems, including products that are designed and built by the client as well as the secure deployment and configuration of business applications that report on and analyse data, e.g. Power BI Perform technical risk assessments and advise product and engineering teams on the secure implementation of AI based solutions, e.g. autonomous AI agents, LLMs, LRMs, and AI-enhanced productivity systems Support the roll-out of the new AI information security control framework Support the Data governance team Key Responsibilities Perform threat modelling (STRIDE), guardrail definition, and security posture assessments across applications, data platforms, APIs, cloud services, and SaaS ecosystems. Identify security control gaps , especially around data pipelines, repositories, network security, API security, middleware, and cloud architectures. Conduct technical security risk assessments , produce risk statements/reports, and support teams with remediation and mitigation strategies. Develop security controls, standards, and documentation for product teams, platform engineering, and data services (e.g., pipelines, warehouses, data sources). Provide expert guidance on Microsoft Security Stack , including: Microsoft Defender (XDR, MDE, MDI) Microsoft Entra ID (SSO, MFA, Conditional Access, PIM) Microsoft Purview (DLP, Information Protection, Data Governance, DSPM) Microsoft 365 Copilot & GitHub Copilot security enablement Partner with data governance, platform engineering, DevOps, and architecture teams to embed secure-by-design Support secure adoption of cloud-native technologies (Azure), DevSecOps pipelines, GitOps practices, and GitHub Advanced Security (GHAS). Oversee security controls for cryptography, key management, secrets management, HSM/Key Vault configurations , and cloud network security (firewalls, proxies, segmentation). Drive secure integration of AI/LLM tools , including Copilot, Azure OpenAI, and agentic systems-ensuring proper guardrails, risk assessments, and data protection. Participate in cloud monitoring, detection & incident response , working with SIEM/XDR tooling and platform/application teams. Collaborate closely with data governance to ensure appropriate classification, labeling, access control, and lifecycle management of sensitive data. Essential Skills & Experience Strong understanding of security frameworks (CIS), MITRE ATT&CK, and AI/LLM security frameworks. Hands-on experience with Azure cloud security , DevSecOps, and cloud-native architectures. Expertise with Microsoft 365 Security and Azure Security Strong knowledge of IAM (SSO, MFA, Conditional Access, AAD/Entra, PIM). Experience delivering data security , DLP, DSPM, and governance controls using Microsoft Purview. Practically skilled in AI security , including risk identification, secure integration patterns, and AI governance models. Experience with cloud monitoring, incident response, SIEM/XDR operations. Ability to translate complex security risks into clear business language and actionable recommendations. Desirable Skills Experience with secure data platforms (Azure Data Factory, Data Lake, SQL, or similar). Knowledge of API, container security, Kubernetes, and infrastructure-as-code security. Familiarity with PCI, GDPR, data privacy requirements, and compliance frameworks. Exposure to adaptive protection, insider risk management, and automated DLP frameworks. Personal Attributes Strong communicator able to work across engineering, data, product, and business teams. Highly analytical with a structured approach to problem-solving. Comfortable in fast-paced environments undergoing modernization and AI adoption. Ability to influence teams and drive secure-by-design culture across the organization
Barclays Bank Plc
Tower Hamlets, London
Join us on a transformative journey as a Solution Architect-Component Designer Assurance & AI, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Operational Support Systems (OSS) & Tools is a newly formed functional unit in the Network Product domain at Barclays. The Barclays OSS & Tools Engineering team is responsible for the design, build and operate of the underlying OSS infrastructure and toolchain across cloud, data centre, campus and branch that are required to run the Barclays Global Network at scale. To be successful as a Solution Architect, you should have experience with Demonstrable experience of building high scale observability solutions using open-source tooling like ELK, Grafana, Prometheus, Nagios, Telegraf and others. Knowledge and demonstrable hands-on experience with middleware technologies (Kafka, API gateways and others) and Data Engineering tools/frameworks like Apache Spark, Airflow, Flink and Hadoop ecosystems. Understanding of network technology fundamentals, Data Structures, scalable system design and ability to translate information in a structured manner for wider product and engineering teams to translate into working solution. Some other highly valued skills may include Knowledge of DevOps tooling, GitOps, CI/CD, configuration management, Jenkins, build pipelines and source control systems. Working knowledge of cloud infrastructure services: compute, storage, networking, hybrid connectivity, monitoring/logging, security and IAM. Programming experience in one of the highlevel languages like Python, Java, Golang and NetDevOps automation and AI engineering (GenAI/Agentic AI), API service development. Proficiency in Agile Methodologies Scrum/Kanban, backlog and workflow mgmt. and SRE specific reporting (MTTR, deployment frequency, SLO and others) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills Location is Knutsford Purpose of the role To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency. Accountabilities Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms. Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc. Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank's resiliency expectations. Solutions that appropriately balance risks and controls to deliver the agreed business and technology value. Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate. Fault finding and performance issues support to operational support teams, leveraging available tooling. Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs. Development of the requisite architecture inputs required to comply with the banks governance processes, including design artefacts required for architecture, privacy, security and records management governance processes. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Join us on a transformative journey as a Solution Architect-Component Designer Assurance & AI, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Operational Support Systems (OSS) & Tools is a newly formed functional unit in the Network Product domain at Barclays. The Barclays OSS & Tools Engineering team is responsible for the design, build and operate of the underlying OSS infrastructure and toolchain across cloud, data centre, campus and branch that are required to run the Barclays Global Network at scale. To be successful as a Solution Architect, you should have experience with Demonstrable experience of building high scale observability solutions using open-source tooling like ELK, Grafana, Prometheus, Nagios, Telegraf and others. Knowledge and demonstrable hands-on experience with middleware technologies (Kafka, API gateways and others) and Data Engineering tools/frameworks like Apache Spark, Airflow, Flink and Hadoop ecosystems. Understanding of network technology fundamentals, Data Structures, scalable system design and ability to translate information in a structured manner for wider product and engineering teams to translate into working solution. Some other highly valued skills may include Knowledge of DevOps tooling, GitOps, CI/CD, configuration management, Jenkins, build pipelines and source control systems. Working knowledge of cloud infrastructure services: compute, storage, networking, hybrid connectivity, monitoring/logging, security and IAM. Programming experience in one of the highlevel languages like Python, Java, Golang and NetDevOps automation and AI engineering (GenAI/Agentic AI), API service development. Proficiency in Agile Methodologies Scrum/Kanban, backlog and workflow mgmt. and SRE specific reporting (MTTR, deployment frequency, SLO and others) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills Location is Knutsford Purpose of the role To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency. Accountabilities Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms. Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc. Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank's resiliency expectations. Solutions that appropriately balance risks and controls to deliver the agreed business and technology value. Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate. Fault finding and performance issues support to operational support teams, leveraging available tooling. Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs. Development of the requisite architecture inputs required to comply with the banks governance processes, including design artefacts required for architecture, privacy, security and records management governance processes. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Experis IT
Role Title: Senior Security AI Solution Architect/Consultant Duration: contract to run until 26/03/2026 Location: London, Hybrid/Flexible (Occasional travel to NW may be required) Rate: up to £671 p/d Umbrella inside IR35 Role purpose/summary Our client is looking for a Snr Security AI Solution Architect/Consultant To support and deliver secure AI solutions within financial services. The architect will shape strategy, design future-state architecture, and deliver practical security capabilities for AI adoption, ensuring compliance with evolving regulations and maintaining a strong security posture. Key Skills/requirements Assess "as-is" and "to-be" security architectures for AI Platforms, AI & GENAI Delivery Roadmaps. Share Security AI & GENAI Security Learnings & Subject Matter Expertise. Shape the short- & long-term AI Security Architecture Strategy incorporating regulation (EUAI Act), standards, framework & policy priorities. Develop architectural documentation for AI security initiatives. Support the delivery of the AI Security Architecture Strategy across both internal & external stakeholders to Security. Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Provide hands-on delivery support where required. General "architect" responsibilities that they would also contribute to: Ensure there is a current Security Architecture defined and maintained for key domains (eg, Endpoint, Cloud, Network, etc.) which clearly outlines the security principles, requirements and capabilities required and how those are instantiated Ensure there is an architectural vision for all projects that at minimum has a component architecture and high-level business process defined (including the product owner and operational team) Ensure architecture artifacts allow to us to quickly answer and evidence routine regulatory queries and attestations Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Map security tooling deployed in the estate (including non-standard environments and non-CISO managed technologies) to the capabilities it implements (not the set of product features - what is actually in use and operationalised) Ensure that projects have correctly aligned scope to Cyber Excellence Programmes and technology/platform strategy Provide input to and take ownership of relevant architectural artifacts that will be produced as part of Excellence Programme workstreams. Survey emerging threats and emerging technologies to identify opportunities for targeted innovation exercises such Proof of Value evaluations Produce patterns which outline solutions for commonly occurring business security needs and security service consumption Validate patterns are adopted by control domain solutions Support Security Consultants as required on complex engagements and provide architectural artifacts such as patterns and principles where necessary Essential Skills & Experience Proven experience as a Security Solution Architect Deep understanding of AI and Generative AI technologies. Deep understanding of AI and Generative AI Security Capabilities. Knowledge of infrastructure and cloud security (AWS; exposure to Azure, GCP, and on-premise environments also valuable). Areas of Knowledge/Skillset: Emergent Technology Governance Artificial Intelligence Data Security within AI Systems Machine Learning AI Operation Cyber recovery IT Infrastructure, Cloud Risk and Regulation Experience in financial services environments. Ability to work across both strategic (roadmaps, future planning) and tactical (delivery, hands-on execution) levels. Personable and collaborative approach, with the ability to engage stakeholders and "roll up sleeves" when needed. Desirable Skills: Experience with regulatory compliance in AI and security, especially EU AI Act. Previous work on securing AI models and platforms (model trust, data security, usage monitoring). AI & GenAI Architecture: Design and implementation of AI factories, pipelines, and modular platforms across regulated environments. GenAI System Design and Implementation: End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design. AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions. Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies. Cyber & Resilience in AI: Embedding threat modelling, adversarial robustness, data integrity, and continuity planning into AI solution architecture. AI Enablement & Delivery: End-to-end AI life cycle orchestration including readiness assessments, regulatory reviews, and business adoption. Emerging Technology Strategy: Digital responsibility, AI assurance, and horizon scanning for next-gen regulatory, legal, and societal risks. Experience liaising with senior stakeholders and external consultancies (PwC, Accenture, etc.) All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Role Title: Senior Security AI Solution Architect/Consultant Duration: contract to run until 26/03/2026 Location: London, Hybrid/Flexible (Occasional travel to NW may be required) Rate: up to £671 p/d Umbrella inside IR35 Role purpose/summary Our client is looking for a Snr Security AI Solution Architect/Consultant To support and deliver secure AI solutions within financial services. The architect will shape strategy, design future-state architecture, and deliver practical security capabilities for AI adoption, ensuring compliance with evolving regulations and maintaining a strong security posture. Key Skills/requirements Assess "as-is" and "to-be" security architectures for AI Platforms, AI & GENAI Delivery Roadmaps. Share Security AI & GENAI Security Learnings & Subject Matter Expertise. Shape the short- & long-term AI Security Architecture Strategy incorporating regulation (EUAI Act), standards, framework & policy priorities. Develop architectural documentation for AI security initiatives. Support the delivery of the AI Security Architecture Strategy across both internal & external stakeholders to Security. Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Provide hands-on delivery support where required. General "architect" responsibilities that they would also contribute to: Ensure there is a current Security Architecture defined and maintained for key domains (eg, Endpoint, Cloud, Network, etc.) which clearly outlines the security principles, requirements and capabilities required and how those are instantiated Ensure there is an architectural vision for all projects that at minimum has a component architecture and high-level business process defined (including the product owner and operational team) Ensure architecture artifacts allow to us to quickly answer and evidence routine regulatory queries and attestations Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Map security tooling deployed in the estate (including non-standard environments and non-CISO managed technologies) to the capabilities it implements (not the set of product features - what is actually in use and operationalised) Ensure that projects have correctly aligned scope to Cyber Excellence Programmes and technology/platform strategy Provide input to and take ownership of relevant architectural artifacts that will be produced as part of Excellence Programme workstreams. Survey emerging threats and emerging technologies to identify opportunities for targeted innovation exercises such Proof of Value evaluations Produce patterns which outline solutions for commonly occurring business security needs and security service consumption Validate patterns are adopted by control domain solutions Support Security Consultants as required on complex engagements and provide architectural artifacts such as patterns and principles where necessary Essential Skills & Experience Proven experience as a Security Solution Architect Deep understanding of AI and Generative AI technologies. Deep understanding of AI and Generative AI Security Capabilities. Knowledge of infrastructure and cloud security (AWS; exposure to Azure, GCP, and on-premise environments also valuable). Areas of Knowledge/Skillset: Emergent Technology Governance Artificial Intelligence Data Security within AI Systems Machine Learning AI Operation Cyber recovery IT Infrastructure, Cloud Risk and Regulation Experience in financial services environments. Ability to work across both strategic (roadmaps, future planning) and tactical (delivery, hands-on execution) levels. Personable and collaborative approach, with the ability to engage stakeholders and "roll up sleeves" when needed. Desirable Skills: Experience with regulatory compliance in AI and security, especially EU AI Act. Previous work on securing AI models and platforms (model trust, data security, usage monitoring). AI & GenAI Architecture: Design and implementation of AI factories, pipelines, and modular platforms across regulated environments. GenAI System Design and Implementation: End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design. AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions. Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies. Cyber & Resilience in AI: Embedding threat modelling, adversarial robustness, data integrity, and continuity planning into AI solution architecture. AI Enablement & Delivery: End-to-end AI life cycle orchestration including readiness assessments, regulatory reviews, and business adoption. Emerging Technology Strategy: Digital responsibility, AI assurance, and horizon scanning for next-gen regulatory, legal, and societal risks. Experience liaising with senior stakeholders and external consultancies (PwC, Accenture, etc.) All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
