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AI & Data Solutions Architect

Keyrus UK
🇬🇧 United Kingdom
Hybrid
Manager or above
2 months ago
  • AI
  • Large Language Models
  • RAG
  • Python
  • System Design
  • AWS
  • Azure
  • GCP
  • Databricks
  • Snowflake
  • Microsoft Fabric
  • Machine Learning
  • LangChain
  • LangGraph
  • Semantic Kernel
  • AutoGen
  • MLOps
  • Pension
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Why Keyrus, Why Now!

Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction:AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value:we operationalise intelligence.

AI does not replace humans. It repositions us to a place no system can follow:understanding, deciding, designing, and creating.

At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become aKeyrus Architect of Intelligence.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

Role Details

📍Job location: London – UK (Hybrid model - 2/3 days onsite)
🕒Contract type: Permanent Employee
🗓Target start date: August 2026
Working hours: Full-time - Monday to Friday
💵Compensation: £83,000 – £120,000

📋What You'll Architect

As anAI & Data Solutions Architect, you will help organisations transform complexity into measurable outcomes by combiningdata, AI, cloud technologies, and human decision-making.

This role is bothtechnical and consultative — ideal for someone who combineshands-on engineering expertise, solution architecture, and client advisory capabilities. You will work at the intersection of innovation and execution, helping organisations design and deploy scalable AI-powered solutions that deliver tangible business value.

Key Responsibilities

  • Design, build, and deliverend-to-end AI and data solutions, from concept and architecture through to production deployment.

  • Develop scalable applications encompassingdata ingestion, processing, orchestration, APIs, user interfaces, and AI capabilities.

  • Leverage modern AI technologies includingLarge Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), semantic search, and cloud-native data platforms.

  • Define solution architectures that combineAI, 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 withclients, 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 bothtechnical 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.

👤Who You Are

  • You are passionate aboutturning emerging technologies into practical business solutions.

  • You enjoy solving complex challenges that require a combination oftechnical depth, creativity, and business understanding.

  • You are equally comfortable discussingarchitecture with engineers andbusiness outcomes with executives.

  • You have a natural curiosity forAI, data, and technology innovation, while maintaining a pragmatic focus on value delivery.

  • You thrive in environments where you can combinehands-on engineering, solution design, and client engagement.

  • You take ownership of outcomes and are motivated by delivering solutions that create measurable impact.

  • Youenjoy 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.

🛠️What You Bring

Qualifications & Experience

  • Relevant academic background or equivalent professional experience.

  • 10+ years of experience inSoftware Engineering, Data Engineering, AI, Solution Architecture, or related disciplines.

  • Proven track record deliveringproduction-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.

  • Previous experience in the FIS Sector (Banking, Finance or Insurance)

  • Professional proficiency inEnglish.

Technical & Professional Skills

  • AdvancedPython development skills.

  • Strong understanding ofapplication architecture, system design, distributed systems, and software engineering best practices.

  • Experience working with moderncloud platforms such asAWS, Azure, or GCP.

  • Hands-on experience with moderndata platforms, including technologies such asDatabricks, Snowflake, Microsoft Fabric, or similar.

  • Experience designing and implementingGenerative AI solutions, includingLLMs, AI agents, and RAG architectures.

  • Familiarity with modern AI frameworks such asLangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent.

  • Experience building and integratingAPIs, 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.

Nice to Have

  • Experience inconsulting or technology advisory environments

  • Experience building AI products, platforms, or reusable accelerators

  • Experience as atechnical lead or trusted advisoron complex engagements

  • Experiencepresenting technical solutions to executive andC-level audiences.

  • Experience withvector databases and semantic search systems

  • Knowledge ofMLOps, AI governance, andproductiondeployment practices

  • Experience buildingAI-powered user interfaces or full-stack apps

  • Exposure to solution leadership and architecture ownership.

  • Experience withmentoring or contributing to engineering communities

What Makes You Successful

  • You focus on deliveringbusiness outcomes, not just technical implementations.

  • You can translate complex business challenges intoscalable, secure, and maintainable AI solutions.

  • You balance innovation with pragmatism, knowing when to experiment and when to standardise.

  • You understand how to combineAI, data, engineering, and cloud technologies into cohesive solution architectures.

  • You build trust with stakeholders through clear communication, technical credibility, and consistent delivery.

  • You arecomfortable 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 We Offer at Keyrus UK

  • Competitive holiday allowance

  • Private Medical & Dental Insurance (Bupa)

  • Group Life Insurance

  • Gym & fitness discounts viaPluxee (Sodexo)

  • On-site gym access at our London office

  • Access tolifestyle discounts (travel, retail, entertainment & more) viaPluxee (Sodexo)

  • Auto-enrolment pension scheme with Aegon.

  • Training & Development via KLX (Keyrus Learning Experience)

  • Strong focus oncareer development and internal mobility.

  • Electric & hybrid car scheme viaTusker

  • Annual discretionary bonus, based on individual and company performance

  • Referral bonus for introducing new colleagues.

💰 How Our Salary Ranges Work

At Keyrus, salary ranges reflectdifferent 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 onexperience, autonomy, scope, and market context, and are discussed transparently during the process.

🔒 Responsible AI & Recruitment

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.
To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively fornote-taking purposes during interviews. AI isnever used to make decisions.

To ensurefairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process isstrictly prohibited.

Our commitment toresponsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

⚠️Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

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 · Keyrus UK

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