Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective.
Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.
Data is never the goal in itself.
We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions.
At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.
#OneTeamOneKeyrus
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.
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.
Job location: London, UK (Hybrid – 2–3 days onsite)
Contract type: Permanent
Target start date: July 2026
Working hours: Full-time (40h/week)
Compensation: £58k – £87k (Senior) or £83k – £108k (Principal)
Note: All applications must be submitted in English.
In this role, you will:
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
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
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
At Keyrus, salary ranges reflect different 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 on experience, autonomy, scope, and market context, and are discussed transparently during the process.
Competitive holiday allowance
Private Medical & Dental Insurance (Bupa)
Group Life Insurance
Gym & fitness discounts via Pluxee (Sodexo)
On-site gym access at our London office
Access to lifestyle discounts (travel, retail, entertainment & more) via Pluxee (Sodexo)
Auto-enrolment pension scheme with Aegon.
Training & Development via KLX (Keyrus Learning Experience)
Strong focus on career development and internal mobility.
Electric & hybrid car scheme via Tusker
Annual discretionary bonus, based on individual and company performance
Referral bonus for introducing new colleagues.
Joining Keyrus means joining:
A market leader in Data Intelligence
A company where people, trust, and diversity are core values
An environment that values ownership, flexibility, and innovation
A place where different backgrounds and perspectives are not just welcomed = they are essential
We believe diversity drives better thinking, stronger teams, and better outcomes.
Everyone belongs at Keyrus.
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 for note-taking purposes during interviews. AI is never used to make hiring decisions or evaluate candidates.
To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.
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.
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.
