K
Keyrus
Data and AI Solutions Architect
Skills
Data EngineeringPythonSnowflakeDatabricksAIAWSAzure
8 days ago
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Important information
Salary:
£83,000 – £120,000 / year
Location:
London, UK
Work mode:
Hybrid
Published on:
22 October 2026
What they need
Who you are
- You are passionate about turning emerging technologies into practical business solutions
- You enjoy solving complex challenges that require a combination of technical depth, creativity, and business understanding
- You are equally comfortable discussing architecture with engineers and business outcomes with executives
- You have a natural curiosity for AI, data, and technology innovation, while maintaining a pragmatic focus on value delivery
- You thrive in environments where you can combine hands-on engineering, solution design, and client engagement
- You take ownership of outcomes and are motivated by delivering solutions that create measurable impact
- You enjoy learning continuously and staying ahead of developments in the rapidly evolving AI landscape
- You communicate clearly and confidently with stakeholders at all levels, adapting your message to different audiences
- Relevant academic background or equivalent professional experience
- 10+ years of relevant experience across software engineering, data, AI and/or solution architecture, including significant experience designing and delivering enterprise-scale solutions
- Proven recent experience designing and delivering production-grade AI/GenAI solutions
- Proven experience delivering technology, data or AI solutions within Financial Services, Banking or Insurance environments
- Proven track record delivering production-grade technology solutions at enterprise scale
- Strong experience working directly with business stakeholders, clients, and multidisciplinary teams
- Experience defining and leading solution architectures from concept to implementation
- Professional proficiency in English
- Advanced Python development skills
- Strong understanding of application architecture, system design, distributed systems, and software engineering best practices
- Experience with Azure and/or AWS cloud platforms
- Hands-on experience with modern data platforms, including technologies such as Databricks, Snowflake, Microsoft Fabric, or similar
- Experience designing and implementing Generative AI solutions, including LLMs, AI agents, and RAG architectures
- Familiarity with modern AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent
- Experience building and integrating APIs, data pipelines, and scalable cloud-native applications
- Strong analytical thinking and problem-solving capabilities
- Ability to balance technical excellence with practical business outcomes
- Excellent stakeholder management, communication, and consulting skills
- 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
- You focus on delivering business outcomes, not just technical implementations
- You can translate complex business challenges into scalable, secure, and maintainable AI solutions
- You balance innovation with pragmatism, knowing when to experiment and when to standardise
- You understand how to combine AI, data, engineering, and cloud technologies into cohesive solution architectures
- You build trust with stakeholders through clear communication, technical credibility, and consistent delivery
- You are comfortable navigating ambiguity and helping clients define the right path forward
- You continuously evaluate emerging technologies and identify opportunities to create measurable value
- You contribute to collective success by sharing knowledge, mentoring others, and elevating engineering standards
- You combine strategic thinking with hands-on execution and are willing to engage at every stage of the solution lifecycle
What the job involves
- As an AI & Data Solutions Architect, you will help organisations transform complexity into measurable outcomes by combining data, AI, cloud technologies, and human decision-making
- This is a hands-on solution architecture role
- You will remain technically involved in designing and delivering solutions while also working directly with clients to shape requirements, architecture and delivery approaches
- You will work at the intersection of innovation and execution, helping organisations design and deploy scalable AI-powered solutions that deliver tangible business value
- Design, build, and deliver end-to-end AI and data solutions, from concept and architecture through to production deployment
- Develop scalable applications encompassing data ingestion, processing, orchestration, APIs, user interfaces, and AI capabilities
- Leverage modern AI technologies including Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), semantic search, and cloud-native data platforms
- Define solution architectures that combine AI, Data Engineering, Cloud, Security, and Software Engineering best practices
- Build reusable accelerators, frameworks, and architectural patterns that can be leveraged across client engagements
- Work closely with clients, delivery teams, technology leaders, and the CTO to transform ideas into scalable, production-ready solutions that create measurable business value
- Present solution designs and architectural decisions to both technical and executive audiences
- Support pre-sales activities, workshops, discovery sessions, and solution-shaping engagements
- Stay current with emerging AI and data technologies, evaluating opportunities to create additional value for clients and Keyrus
The application process
- We usually respond within a week
- 🗓 Target start date: November 2026
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
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