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Data and AI Solutions Architect

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Hybrid

Data and AI Solutions Architect

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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