At a Glance
- Tasks: Design and deliver AI-powered solutions that solve real business challenges.
- Company: Join a leading data intelligence company that values innovation and diversity.
- Benefits: Enjoy private medical insurance, gym access, and a focus on career development.
- Other info: Hybrid work model with excellent growth opportunities and a supportive culture.
- Why this job: Be at the forefront of AI technology and make a tangible impact.
- Qualifications: 10+ years in software or data engineering with strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
As an AI & Data Solutions Architect, you will work at the intersection of data, technology, and business, helping shape and deliver the next generation of AI‑powered solutions for Keyrus and our clients. This is a highly hands‑on role, combining strong engineering foundations, deep data expertise, and practical experience applying modern AI technologies to solve real business challenges. You will work closely with clients, delivery teams, technology leaders, and the CTO to transform ideas into scalable, production‑ready solutions that create measurable business value. We’re looking for someone who is curious, self‑driven, and passionate about continuous learning, with the ability to solve complex problems and turn innovation into practical outcomes.
Job Location: London, UK (Hybrid – 2–3 days onsite)
Target Start Date: July 2026
In This Role, You Will:
- Design, build, and deliver AI‑powered solutions end‑to‑end, from concept to production
- Develop end‑to‑end data and AI applications (data ingestion, processing, orchestration, APIs, user interfaces)
- Leverage modern technologies, including LLMs, agentic frameworks, RAG architectures, and cloud data platforms
- Work directly with clients to understand business problems and translate them into scalable solutions
- Define solution architectures combining AI, data, cloud, and engineering best practices
- Build reusable accelerators and frameworks across client engagements
- Collaborate with delivery teams and leadership to drive technical excellence and innovation
- Present architectural decisions and solution designs to technical and business stakeholders
- Contribute to pre‑sales, workshops, and solution‑shaping activities
- Stay at the forefront of emerging AI technologies and identify opportunities
What Makes This Role Challenging:
- Delivering enterprise‑grade AI solutions in a fast‑evolving landscape
- Combining software engineering, data engineering, AI, and architecture in a single role
- Balancing innovation with scalability, security, and business value
- Working across multiple industries and client contexts
- Communicating complex technical concepts to diverse stakeholders
- Continuously adapting to new tools, frameworks, and approaches
Must‑haves:
- 10+ years of experience in Software Engineering, Data Engineering, AI, or Solution Architecture
- Proven track record of delivering production‑grade solutions
- Strong software engineering background with hands‑on development
- Advanced Python programming skills
- Strong understanding of system design and application architecture
- Deep experience with data platforms and large‑scale data processing
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience with Databricks, Snowflake, Microsoft Fabric, or similar
- Experience designing APIs and distributed systems
- Experience with AI frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, etc.)
- Strong analytical and problem‑solving skills
- Excellent communication and stakeholder management skills
- Strong consulting mindset and client‑facing experience
- Ability to engage with both technical and non‑technical audiences
Nice‑to‑haves:
- Experience in consulting or technology advisory environments
- Experience building AI products, platforms, or reusable accelerators
- Experience as a technical lead or trusted advisor on complex engagements
- Experience presenting technical solutions to executive and C‑level audiences
- Experience with vector databases and semantic search systems
- Knowledge of MLOps, AI governance, and production deployment practices
- Experience building AI‑powered user interfaces or full‑stack apps
- Exposure to solution leadership and architecture ownership
- Experience with mentoring or contributing to engineering communities
What We Offer at Keyrus UK:
- Private Medical & Dental Insurance (Bupa)
- Group Life Insurance
- Gym & fitness discounts via Pluxee (Sodexo)
- On‑site gym access at our London office
- Access to lifestyle discounts (travel, retail, entertainment & more) via Pluxee (Sodexo)
- Auto‑enrolment pension scheme with Aegon
- Strong focus on career development and internal mobility
- Electric & hybrid car scheme via Tusker
- Annual discretionary bonus, based on individual and company performance
- Referral bonus for introducing new colleagues
- A market leader in Data Intelligence
- A company where people, trust, and diversity are core values
- An environment that values ownership, flexibility, and innovation
- A place where different backgrounds and perspectives are not just welcomed — they are essential
Equal Opportunity Statement: We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.
AI & Data Solutions Architect in London employer: Keyrus
Keyrus is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for an AI & Data Solutions Architect to thrive. With a strong emphasis on career development, flexible working arrangements, and a commitment to diversity, employees are empowered to grow and make meaningful contributions while enjoying competitive benefits such as private medical insurance and gym access in the vibrant city of London. Join us to be at the forefront of AI technology and work alongside passionate professionals dedicated to delivering impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Data Solutions Architect in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Keyrus!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI & Data Solutions Architect at Keyrus.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Keyrus.
✨Apply Directly through Our Website
When you find a suitable opening like AI & Data Solutions Architect at Keyrus, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI & Data Solutions Architect in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Keyrus, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Keyrus. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Keyrus
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Keyrus!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
