AI & Data Solutions Architect

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., Final offers are based on experience, 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. note-taking purposes during interviewsr . AIneveris used to make decisions.

To ensure fairness, authenticity, and the protection of confidential and proprietary information , the use of AI tools by candidates during the recruitment process i strictly prohibiteds .

Our commitment to responsible 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.

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 experiencein Software Engineering, Data Engineering, AI, Solution Architecture, or related disciplines .

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 .

Technical & Professional Skills

Advanced Python development skills.

Strong understanding of application architecture, system design, distributed systems, and software engineering best practices .

Experience working with modern cloud platforms such as AWS, Azure, or GCP .

Hands-on experience with modern data platforms , including technologies such a Databricks, Snowflake, Microsoft Fabrics , or similar.

Experience designing and implementing Generative AI solutions , includin LLMs, AI agents, and RAG architecturesg .

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., consulting or technology advisory environments

AI products, platforms, or reusable accelerators

Experience as a technical lead or trusted advisor on complex engagements

presenting technical solutions to executive and .C-level audiences

vector databases and semantic search systems

MLOps, AI governance, and production deployment practices

AI-powered user interfaces or full-stack apps

Exposure to solution leadership and architecture ownership.

mentoring or contributing to engineering communities

What Makes You Successful

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.

LocationsLondonRemote statusHybridYearly salary£58,000 - £108,000 Contact Marlene Semedo Talent Acquisition - Human Resources

This role is both technical and consultative - ideal for someone who combines hands-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.