At a Glance
- Tasks: Design and deliver AI-powered solutions that make data truly matter.
- Company: Join Keyrus, a global leader in Data Intelligence and innovation.
- Benefits: Enjoy competitive salary, private medical insurance, gym access, and career development opportunities.
- Other info: Flexible hybrid work environment with a focus on diversity and inclusion.
- Why this job: Be at the forefront of AI technology and make a real impact on businesses.
- Qualifications: 10+ years in software or data engineering with strong Python skills.
The predicted salary is between 58000 - 87000 £ per year.
About Keyrus
Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective. Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities. Data is never the goal in itself. We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions. At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.
The Role
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.
Your Impact
- 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
What We’re Looking For
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
- Hands-on experience delivering Generative AI solutions (LLMs, agents, RAG)
- 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
- Fluent English
- 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
How Our Salary Ranges Work
At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles. Bottom of the range — You meet the core requirements and will need ramp-up time and support. Middle of the range — You are fully autonomous from Day 1 and deliver consistently. Top of the range — You are a reference for the role, mentor others, and raise the bar for the team. Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.
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
Why Keyrus?
Joining Keyrus means joining:
- 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 but are essential
We believe diversity drives better thinking, stronger teams, and better outcomes. Everyone belongs at Keyrus.
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 London · employer: The Keyrus Group
Keyrus is an exceptional employer that prioritises employee growth and well-being, offering a dynamic work culture in the heart of London. With a strong commitment to innovation and sustainability, employees benefit from competitive compensation, comprehensive health insurance, and extensive training opportunities through Keyrus Learning Experience. The hybrid work model fosters flexibility, while the emphasis on diversity and inclusion ensures that every voice is valued, making it a truly rewarding place to build a career in AI and data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Data Solutions Architect London ·
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We think you need these skills to ace AI & Data 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!
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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!
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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.
