AI Solution Architect in London

AI Solution Architect in London

London Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead innovative AI projects and deliver high-quality solutions with a dynamic team.
  • Company: Join Kainos, a forward-thinking tech company focused on impactful AI solutions.
  • Benefits: Enjoy a people-first culture, competitive salary, and opportunities for growth.
  • Other info: Be part of a diverse team that values creativity and collaboration.
  • Why this job: Make a real difference in the AI landscape while developing your skills.
  • Qualifications: Experience in AI solutions, Python, and cloud platforms like Azure is essential.

The predicted salary is between 63000 - 77000 £ per year.

hackajob is partnering directly with Kainos to hire for this role. Join Kainos and shape the future. At Kainos, we are problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we are transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you will be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger.

Capability / Job Family Group: Artificial Intelligence

Job Family: AI Engineering

Job Profile Title: AI Solution Architect

Management Level: Manager

Job Profile Description: As an AI Solution Architect in Actonomy, you will be the technical lead on our customer-facing Frontier AI projects, responsible for the successful delivery of high-quality AI solutions built on Actonomy's products. You will lead a team of Forward Deployed Engineers working hands-on inside customer environments to turn ambitious AI ideas into production reality. It is a role that combines engineering, consulting, and product thinking, so you will be as comfortable in front of a customer as you are in the code. As a technical leader, you will work with senior stakeholders to agree architectural principles and strategic direction, develop customer relationships and account management, and feed what you learn on the ground back into our product direction. You will manage, coach, and develop a small number of staff, with a focus on performance and career development, whilst advising on new technologies and approaches to AI and helping the people around you learn, develop, and grow.

Your key responsibilities will include:

  • Leading Frontier AI projects: You will be the technical lead on customer engagements, owning the solution end to end and guiding a team of Forward Deployed Engineers to deliver it.
  • Working directly with customers: You will work with customers and senior stakeholders to understand their business problems and desired outcomes, and agree architectural principles and strategic direction.
  • Deploying and integrating: You will oversee the deployment, configuration, and integration of Actonomy's products within customer environments, and resolve the technical challenges that arise during rollout.
  • Leading your team: You will provide technical direction, support, and line management to a team of Forward Deployed Engineers, helping them make the right decisions and grow.
  • Closing the product loop: You will gather user feedback and translate customer needs into product improvements, working closely with our Product and Engineering teams.
  • Building reusable assets: You will create reusable deployment patterns and implementation assets that make each engagement faster and better than the last.
  • Driving adoption and value: You will support customer adoption and value-realisation activities so customers get real, lasting value from AI in their day-to-day work.
  • Staying at the frontier: You will stay current with developments in AI, Microsoft technologies, and the Actonomy platform, and share that knowledge with your team and customers.

Minimum (Essential) Requirements:

  • Proven experience leading the delivery of production AI solutions across different sizes and shapes of challenge (e.g. an AI service, a multi-team programme, a customer platform deployment or a complex integration).
  • Experience acting as the technical lead on customer-facing projects, ideally deploying software products or platforms within customer environments.
  • Significant hands-on experience with Python and public cloud platforms, particularly Azure, including SaaS and PaaS offerings.
  • Hands-on experience building and deploying with modern AI, including large language models and agentic AI (prompt engineering, RAG, tool and function calling, orchestration), on the Microsoft AI stack such as Azure OpenAI, Azure AI Foundry and Azure AI services.
  • Proven experience of technical ownership for an AI product or software project, including architecture, estimation, product planning and user story/requirement creation.
  • Able to understand whole-solution architecture and to communicate and negotiate it with senior and C-level stakeholders, including the commercial implications of design decisions.
  • Able to simplify and clearly communicate AI design in conversation, documentation and presentations to non-engineers.
  • Comfortable working directly with customers and users, developing relationships and supporting account management.
  • Experience integrating products or solutions with customer systems and data sources and resolving technical issues during implementation and rollout.
  • Able to prioritise across multiple major projects, particularly when working to deadlines.
  • A demonstrated ability in managing, mentoring, coaching and developing members of your team and the wider community, including managing a small number of staff.

Desirable:

  • Experience with React or similar technologies.
  • Familiarity with the Microsoft agent ecosystem.
  • Experience creating reusable deployment patterns and implementation assets.
  • Experience working in consulting, customer-facing or delivery roles.
  • Awareness of responsible AI and AI evaluation practices.
  • Active participation in technology communities and knowledge sharing, internally and externally.

Who You Are: Our vision is to enable outstanding people to create digital solutions that have a positive impact on people's lives. Our values aren't abstract; they are the behaviours we expect from each other every day and underpin everything that we do. We expect everyone to display our values by being determined in how obstacles are overcome; honest when dealing with others; respectful of how you treat others; creative to find solutions to complex problems and cooperative by sharing information, knowledge and experience. These values, applied collectively, help to produce an outstanding Kainos person, team and culture.

About Us: Actonomy is a Kainos team focused on developing innovative AI products that solve real problems and create meaningful impact. We bring together deep technical expertise and a passion for AI to build intelligent, agentic solutions on the Azure stack. We work at the frontier of what's possible with AI exploring new architectures, pushing platform boundaries and building products that make people's working lives better. As part of Kainos, we benefit from a culture built on collaboration, continuous learning and doing the right thing.

Embracing our differences: At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

AI Solution Architect in London employer: Hackajob Ltd

JPMorgan Chase is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Lead Site Reliability Engineer, you will not only tackle complex challenges but also benefit from extensive professional development opportunities and a strong commitment to diversity and inclusion. Located in a global financial hub, you'll be part of a team that values your expertise and encourages a culture of continuous improvement and technical excellence.

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Contact Details:

Hackajob Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solution Architect in London

Join Local Tech Meetups

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Contribute to Open Source Projects

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Tap into Online Developer Communities

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Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace AI Solution Architect in London

AI Solution Architecture
Python
Azure
Large Language Models
Prompt Engineering
Technical Leadership
Customer Engagement

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 Hackajob Ltd.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hackajob Ltd 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 Hackajob Ltd

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 Hackajob Ltd 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.