At a Glance
- Tasks: Design and implement AI solutions that transform data interaction for businesses.
- Company: Join a forward-thinking tech company in London with a focus on innovation.
- Benefits: Enjoy competitive salary, private medical insurance, gym access, and career development opportunities.
- Other info: Flexible hybrid work environment with excellent growth potential.
- Why this job: Make a real impact by solving complex business challenges with cutting-edge AI technology.
- Qualifications: Strong Python skills and experience with AI technologies like LLMs and semantic modelling.
The predicted salary is between 58000 - 87000 £ per year.
The Role
As an AI Solutions Architect, you will work at the intersection of artificial intelligence, data engineering, and business problem‑solving, helping transform how analysts, researchers, engineers, and business stakeholders interact with data. You will join a small, highly skilled team and work directly with senior stakeholders to identify opportunities, design AI‑powered solutions, and deliver them into production. This is a hands‑on role, combining deep technical expertise with strong communication skills, where you will independently drive initiatives from problem discovery through implementation.
Your Impact
- Lead the design and implementation of AI‑powered solutions across enterprise data and analytics functions.
- Work directly with stakeholders to understand business challenges and translate them into technical solutions.
- Build production‑grade agentic AI systems leveraging LLMs, retrieval architectures, semantic models, and knowledge representations.
- Develop intelligent document processing solutions for financial filings and structured financial content.
- Design and enhance semantic search, retrieval, and data discovery capabilities.
- Build natural language interfaces enabling non‑technical users to interact with complex datasets.
- Contribute to metadata modelling, governance frameworks, and AI enablement initiatives.
- Own the full lifecycle from discovery through implementation, deployment, and optimisation.
- Act as a trusted technical partner, driving delivery and business value independently.
What Makes This Role Challenging
You will operate in a highly visible environment where both technical excellence and stakeholder management are critical. You will work on complex AI initiatives involving financial data, regulatory filings, and enterprise‑scale retrieval systems. You will be expected to operate with high autonomy and ownership. Requirements will often be ambiguous and evolving, requiring structured problem‑solving. You must balance innovation and experimentation with reliability and production‑grade quality. You will regularly interact with senior stakeholders, translating complex technical concepts clearly.
What We’re Looking For
Must‑haves- Strong experience developing solutions in Python (APIs, async architectures, pipelines, production systems).
- Hands‑on experience with LLMs and Generative AI, including:
- Prompt engineering and structured output generation
- Tool use and agent orchestration
- Agentic workflows and multi‑step reasoning
- Strong experience designing RAG (Retrieval‑Augmented Generation) architectures, including:
- Embeddings, vector databases, retrieval pipelines
- Chunking, indexing, and evaluation frameworks
- Experience with knowledge representation and semantic modelling, including:
- Knowledge graphs, semantic search, metadata‑driven architectures
- Strong SQL skills (analytics, joins, window functions).
- Experience with Python frameworks (FastAPI, pandas, etc.).
- Experience with enterprise data platforms (e.g. Snowflake).
- Ability to translate business problems into technical solutions.
- Strong client‑facing communication skills.
- Proven ability to work with high autonomy and ownership.
- Experience working with financial data / regulatory datasets.
- Fluent English.
- Willingness to travel occasionally if needed.
- Experience with AWS Bedrock or enterprise AI platforms.
- Experience with AI development tools (Copilot, Cursor, Claude Code, etc.).
- Experience with graph databases (Neo4j) and knowledge graphs.
- Experience with financial data extraction (SEC, EDGAR, XBRL).
- Exposure to metadata platforms (Collibra, MDM).
- Experience building AI‑powered data marketplaces or semantic search platforms.
- Background in consulting / solution architecture / FDE roles.
- Experience working in highly consultative, enterprise environments.
How Our Salary Ranges Work
At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.
What We Offer at Keyrus UK
- Competitive holiday allowance.
- 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.
- Training & Development via KLX (Keyrus Learning Experience).
- 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.
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 Solutions Architect London · employer: The Keyrus Group
At Keyrus UK, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an AI Solutions Architect in London, you'll enjoy a hybrid working model, competitive benefits including private medical insurance and a strong focus on career development, ensuring you have the tools and support to thrive in your role. Join us to make a meaningful impact while working alongside a talented team dedicated to pushing the boundaries of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Architect 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 The Keyrus Group!
✨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 Solutions Architect London · at The Keyrus Group.
✨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 The Keyrus Group.
✨Apply Directly through Our Website
When you find a suitable opening like AI Solutions Architect London · at The Keyrus Group, 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 Solutions Architect 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 The Keyrus Group, 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 The Keyrus Group. 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 The Keyrus Group
✨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 The Keyrus Group!
✨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.
