101 to 107 of 107 Technical Architecture Jobs in London

define both the product and the culture of an early-stage AI company. This is a rare opportunity to shape the future from the ground up, influencing everything from technical architecture to team growth. You'll Thrive Here If You're Driven: You set a high standard for yourself and others, always striving for excellence. Ownership-minded: You … TypeScript end-to-end with Next.js for a unified development experience. AWS and Terraform for scalable, version-controlled infrastructure. TurboRepo for rapid code sharing and efficient testing. AI-driven architecture using LangChain and custom orchestration for real-world solutions. What's on Offer Permanent role with a competitive salary and meaningful equity . Brand-new MacBook and full setup More ❯

organisation's GRC capabilities, identifying gaps, and designing a robust architectural roadmap/blueprints holistically.In this role, you will play a key part in shaping the future of GRC architecture and Operational Risk, leveraging your deep expertise in regulatory compliance and risk from an architectural perspective. You will be responsible for developing frameworks that span multiple regulations, ensuring the … and compliant in a rapidly evolving regulatory landscape. You will possess a strong track record of delivering projects within financial services, with hands-on experience in enterprise, solution, and technical architecture. You will have previously operated as an Enterprise Solution Architect across the cloud platforms and possess a high-level understanding of data platforms and their integration into enterprise … this is looking to be implemented here. Exposure to other tools such as ServiceNow GRC, RSA Archer, SAP GRC, IBM OpenPages, LogicGate Risk Cloud Great experience with hands-on architecture design and proof-of concepts delivery with experience with AWS/Azure Cloud. Strong understanding of Operational Risk practices in multinational setups providing B2B services. You have strong experience More ❯

identifying gaps, and designing a robust architectural roadmap to support long-term strategic goals. In this role, you will play a key part in shaping the future of GRC architecture, leveraging your deep expertise in regulatory compliance and risk from an architectural perspective. You will be responsible for developing frameworks that span multiple regulations, ensuring the organisation remains agile … in a rapidly evolving regulatory landscape. The ideal candidate will bring a strong track record of delivering projects within financial services, with hands-on experience in enterprise, solution, and technical architecture. You will have previously operated as an Enterprise Architect across the AWS cloud platform and possess a high-level understanding of data platforms and their integration into enterprise … as DORA, SOX, HIPAA, CSRD etc. Knowledge of architectural frameworks (e.g. TOGAF) and data/systems integration exposure Strong communicator and good stakeholder management (team and upwards) Experience in Architecture, design and delivery for Cloud (AWS, Azure) and on-prem platforms including integrations to key services What you'll get in return Flexible working options available. What you need More ❯

uncover needs and opportunities for AI and automation. Design and validate end-to-end AI architectures that are scalable, secure, and outcome-driven. Support bids and proposals with credible technical and operational input. Deliver compelling demos and presentations that show real business impact. Collaborate with Solution Engineers on proof-of-concepts and client showcases. Advise on AI trends, technologies … . Experience designing or supporting enterprise-scale AI deployments . Commercial acumen, including ROI modelling and TCO analysis. Strong communication and presentation skills with executive audiences. Ability to balance technical depth with business storytelling. Leadership and mentoring capability within cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure … or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud More ❯

uncover needs and opportunities for AI and automation. Design and validate end-to-end AI architectures that are scalable, secure, and outcome-driven. Support bids and proposals with credible technical and operational input. Deliver compelling demos and presentations that show real business impact. Collaborate with Solution Engineers on proof-of-concepts and client showcases. Advise on AI trends, technologies … . Experience designing or supporting enterprise-scale AI deployments . Commercial acumen, including ROI modelling and TCO analysis. Strong communication and presentation skills with executive audiences. Ability to balance technical depth with business storytelling. Leadership and mentoring capability within cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure … or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud More ❯

uncover needs and opportunities for AI and automation. Design and validate end-to-end AI architectures that are scalable, secure, and outcome-driven. Support bids and proposals with credible technical and operational input. Deliver compelling demos and presentations that show real business impact. Collaborate with Solution Engineers on proof-of-concepts and client showcases. Advise on AI trends, technologies … . Experience designing or supporting enterprise-scale AI deployments . Commercial acumen, including ROI modelling and TCO analysis. Strong communication and presentation skills with executive audiences. Ability to balance technical depth with business storytelling. Leadership and mentoring capability within cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure … or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud More ❯

uncover needs and opportunities for AI and automation. Design and validate end-to-end AI architectures that are scalable, secure, and outcome-driven. Support bids and proposals with credible technical and operational input. Deliver compelling demos and presentations that show real business impact. Collaborate with Solution Engineers on proof-of-concepts and client showcases. Advise on AI trends, technologies … . Experience designing or supporting enterprise-scale AI deployments . Commercial acumen, including ROI modelling and TCO analysis. Strong communication and presentation skills with executive audiences. Ability to balance technical depth with business storytelling. Leadership and mentoring capability within cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure … or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud More ❯