AI & Data Solutions Architect, Keyrus
£58-108k
+ Annual discretionary bonus
2-3 days a week in office
AI-driven toolkit for data analytics
Be an early applicant
AI-driven toolkit for data analytics
1001+ employees
Be an early applicant
£58-108k
+ Annual discretionary bonus
2-3 days a week in office
1001+ employees
Company mission
Keyrus's mission is to "make data matter".
Role
Who you are
- 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
- 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
Desirable
- 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 the job involves
- 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
- ⏰ Working hours: Full-time (40h/week)
- 🗓 Target start date: July 2026
- 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
- 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
Salary benchmarks
Our take
Data is an invaluable resource to modern businesses, empowering actionable insights that can significantly optimise business operations. However, the massive quantities of data that must be analysed to achieve such insights can be problematic to work with, requiring vast teams of data engineers and analytic infrastructure.
Keyrus provides a 'playbook' suite of AI-driven data analytics tools, helping businesses maximise their data’s value without the need for large-scale data engineering teams. The company's tools primarily focus on optimising user experiences across software and web products on any platform and offering data-driven tools for cloud-based technology, cybersecurity, and overall business digitisation, transformation, and innovation.
Whilst the company will face competition from startups producing specialised AI-driven tools for businesses, Keyrus shows excellent potential to compete due to its unified approach to applying AI to data analysis. Through this approach, the company aims to empower businesses to maximise the potential of their data with unfragmented white-label tools and consultancy, future-proofing their operations without the need for unaffordable data engineering hires.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Company benefits
- Access to our KLX platform with + 10.000 pieces of training
- Informal work environment where you get coached by experts and receive support to help you in your professional and personal growth
- Pension scheme
- Private medical insurance
- Annual bonus
- The chance to work with different technologies
- Be part of a company that wants to have an impact on the (digital) future
- An international, start-up mindset community of experts spread across 18 countries
Company HQ
Levallois-Perret, France
Leadership
Bruno Dehouck
(CEO of UK & Iberia)Experience as Manager of KPMG from 2002 to 2004. Associate for KERTIOS from 2004 to 2008.
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