At a Glance
- Tasks: Lead the design of innovative AI products and solutions, shaping enterprise-level architecture.
- Company: Dynamic tech firm in Central London with a focus on AI innovation.
- Benefits: Competitive salary, performance bonus, and flexible hybrid working options.
- Other info: Exciting opportunity for career growth in a rapidly evolving field.
- Why this job: Make a real impact in AI technology while leading multidisciplinary teams.
- Qualifications: Proven experience in AI architecture and strong technical leadership skills.
The predicted salary is between 72207 - 88253 £ per year.
We are looking for an experienced AI Solution Architect - Senior Manager to lead the architecture and technical design of innovative, AI-enabled digital products, platforms and services. This is an opportunity to play a key role in shaping and delivering enterprise AI solutions, working across business, product, data and engineering teams to turn complex business challenges into secure, scalable and production-ready applications.
You will take ownership of the end-to-end architecture lifecycle, from initial discovery and solution design through to engineering delivery, deployment and live operation. You will combine strong architectural expertise with a practical understanding of AI technologies, providing technical leadership while helping organisations adopt AI responsibly and effectively.
The Role
- Own the end-to-end architecture of AI-enabled products, platforms and services, from discovery and solution design through to engineering delivery and live operation.
- Design and architect production-ready AI solutions, incorporating large language models (LLMs), generative AI, retrieval-augmented generation (RAG), AI agents and orchestration technologies.
- Provide technical leadership to multidisciplinary engineering teams, guiding architecture decisions, reviewing designs and resolving complex technical challenges.
- Define scalable, secure and resilient AI architectures, considering model selection, data pipelines, integrations, infrastructure and deployment approaches.
- Establish appropriate AI evaluation and monitoring frameworks, covering model performance, accuracy, safety, data quality, privacy, security and explainability.
- Identify and manage architectural risks, dependencies, technical constraints and technical debt, ensuring solutions meet business and non-functional requirements.
- Work closely with Enterprise Architecture, Security, Data, Engineering and Platform teams to ensure effective integration and alignment with wider technology standards.
- Develop reusable AI architecture patterns, reference architectures and technical blueprints.
- Stay up to date with emerging AI models, agentic technologies, orchestration frameworks and cloud platforms, making informed decisions around technology selection and platform dependencies.
- Communicate architectural decisions and recommendations to senior stakeholders, translating complex technical concepts into clear business outcomes.
- Support solution shaping, client-facing discussions, proposals, RFPs and RFIs, providing senior technical expertise.
- Mentor and develop Solution Architects, Engineers and other technical practitioners, contributing to the growth of the wider AI architecture capability.
About You
You will be an experienced AI Architect, Solution Architect or senior technical leader with a strong background in designing and delivering complex technology solutions, ideally with a focus on AI and emerging technologies.
You will ideally have:
- Proven experience designing and delivering enterprise technology solutions end-to-end, from discovery and architecture through to engineering delivery and production deployment.
- Strong experience architecting AI-enabled applications, platforms or services.
- Knowledge of generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents and agent orchestration.
- An understanding of AI evaluation, monitoring and responsible AI principles, including model performance, safety, explainability, governance and security.
- Experience with cloud-native architecture and engineering, ideally using Microsoft Azure, AWS or Google Cloud Platform.
- A strong understanding of modern solution architecture, including APIs, integration, data architecture, identity and access management, DevSecOps, observability and resilience.
- Practical technology delivery experience across AI platforms, software engineering, cloud modernisation or distributed systems.
- The ability to assess architectural trade-offs, manage technical risks and design solutions that are scalable, secure and commercially viable.
- Experience providing technical leadership, influencing senior stakeholders and guiding multidisciplinary engineering teams.
- Experience contributing to technical proposals, solution shaping, RFPs or RFIs.
- Excellent communication skills, with the ability to engage confidently with both technical teams and senior business stakeholders.
What's on Offer?
£85,000-£120,000 basic salary, depending on experience. Performance-related bonus. Hybrid and flexible working arrangements.
Please note: We are unable to offer visa sponsorship for this position. Applicants must already have the unrestricted right to work in the UK.
AI Solution Architect - Senior Manager in London employer: eFinancialCareers
As a leading global asset manager based in London, we pride ourselves on fostering a dynamic and inclusive work culture that values innovation and collaboration. Our employees benefit from comprehensive professional development opportunities, competitive compensation packages, and the chance to work with cutting-edge AI tools that enhance their skills and productivity. Join us to be part of a team that not only drives success but also prioritises employee well-being and growth in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - Senior Manager in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at eFinancialCareers or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace AI Solution Architect - Senior Manager in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at eFinancialCareers.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at eFinancialCareers and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at eFinancialCareers
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If eFinancialCareers uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
