Keyrus
AI Solutions Architect
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AI Solutions Architect
Senior AI Solutions Architect – London, UK
🌍 About Keyrus
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 over 3,300 employees worldwide. Our expertise combines deep skills in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of real-world business needs.
Data isn’t just a tool—it shapes understanding, meaningful experiences, and better decisions. We also believe businesses have a responsibility to contribute to sustainability, inclusion, and positive societal impact through our Foundation and ESG initiatives.
#OneTeamOneKeyrus
🎯 The Role
As an AI Solutions Architect, you’ll work at the intersection of artificial intelligence, data engineering, and business problem-solving, transforming how teams engage with data.
- Join a small, high-performing team and collaborate directly with senior stakeholders.
- Identify opportunities, design AI-powered solutions, and deliver them to production.
- A Forward Deployed Engineer (FDE) role: bridging gaps between technical teams and stakeholders, rapidly prototyping, deploying solutions, and taking full ownership of outcomes.
📍 Location & Contract
- London, UK (Hybrid, flexible)
- Employee or Inside IR35
- Target start date: July 2026
- Full-time (40h/week)
💵 Compensation
- Senior: £58,000–£87,000
- Principal: £83,000–£108,000
Note: All applications must be submitted in English.
💥 Key Responsibilities
In this role, you will:
- Lead the design and implementation of AI-powered solutions across enterprise data and analytics.
- Collaborate with stakeholders to translate business challenges into technical solutions.
- Build production-grade agentic AI systems using:
- LLMs, retrieval architectures
- Semantic models and knowledge representations
- Develop intelligent document processing for financial filings and structured content.
- Enhance semantic search, retrieval, and data discovery capabilities.
- Design natural language interfaces for non-technical users to interact with complex datasets.
- Contribute to metadata modelling, governance frameworks, and AI enablement.
- Own the full lifecycle—from problem discovery through implementation, deployment, and optimisation.
- Act as a trusted technical advisor, driving delivery and business impact independently.
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⚡ Challenges of the Role
- Work in a high-visibility environment where technical and stakeholder management are critical.
- Tackle complex AI initiatives, including financial data, regulatory filings, and enterprise-scale retrieval systems.
- Operate with high autonomy, balancing innovation with reliability and production quality.
- Handle ambiguous, evolving requirements requiring structured problem-solving.
- Regularly communicate with senior stakeholders, simplifying complex technical concepts.
👤 Requirements
Must-Haves
✅ Technical Expertise:
- Strong Python experience (APIs, async architectures, pipelines, production systems).
- Hands-on LLM and Generative AI skills, including:
- Prompt engineering and structured output generation.
- Tool use and agent orchestration.
- Agentic workflows and multi-step reasoning.
- RAG (Retrieval-Augmented Generation) expertise:
- Embeddings, vector databases, retrieval pipelines.
- Chunking, indexing, and evaluation frameworks.
- Knowledge representation & semantic modelling:
- Knowledge graphs, semantic search, metadata-driven architectures.
- Strong SQL (analytics, joins, window functions).
- Experience with Python frameworks (FastAPI, pandas, etc.).
- Experience with enterprise data platforms (e.g., Snowflake).
- Ability to translate business problems into technical solutions.
- Strong client-facing communication skills.
- Proven autonomy and ownership in past roles.
- Experience with financial data or regulatory datasets.
- Fluent English (essential for stakeholder interaction).
✅ Practical Experience:
- Willingness to occasionally travel as needed.
Nice-to-Haves
🔹 Experience with AWS Bedrock or enterprise AI platforms. 🔹 Knowledge of AI development tools (e.g., GitHub Copilot, Cursor, Anthropic’s Claude). 🔹 Graph databases (Neo4j) and knowledge graph expertise. 🔹 Financial data extraction (SEC, EDGAR, XBRL). 🔹 Exposure to metadata platforms (Collibra, MDM). 🔹 Building AI-powered data marketplaces or semantic search platforms. 🔹 Consulting/solution architecture/FDE role background. 🔹 Experience in highly consultative, enterprise environments.
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💰 Salary Structure
At Keyrus, salary ranges reflect levels of mastery and impact, not role titles:
- Bottom of range: You meet core requirements and may require ramp-up time.
- Middle of range: Full autonomy from Day 1, consistent delivery.
- Top of range: Benchmark expertise, mentor others, elevate team standards.
Final offers are based on:
- Experience
- Autonomy & scope
- Market context (Transparently discussed during the process.)
🎁 Benefits at Keyrus UK
- Competitive holiday allowance.
- Private Medical & Dental Insurance (Bupa).
- Group Life Insurance.
- Gym discounts & on-site access (London office).
- Lifestyle discounts (travel, retail, entertainment via Pluxee / Sodexo).
- Auto-enrolment pension scheme (Aegon).
- Training & Development (KLX – Keyrus Learning Experience).
- Focus on career growth & internal mobility.
- Electric/hybrid car scheme via Tusker.
- Annual discretionary bonus (individual & company performance-based).
- Referral bonus for introducing new team members.
💙 Why Keyrus?
Join more than just a company—join a movement that values:
- Data Intelligence leadership.
- Trust, diversity, and inclusivity as core values.
- Ownership, flexibility, and innovation.
- Diverse perspectives, knowledges, and backgrounds as integral to success.
"Diversity drives better thinking, stronger teams, and better outcomes. Everyone belongs here."
⚠️ Important Notes
- AI in Recruitment:-human-only recruiters evaluate all stages. AI scripts interview notes internally only—never decides hiring.
- AI Usage Ban: Using AI tools during the process immediately disqualifies candidates.
- Equal Opportunity: We welcome applications from all backgrounds and are committed to an inclusive workforce.
**♿ Equal Opportunity Statement We are committed to building an inclusive workplace and encourage applications from all backgrounds, including but not limited to:
- Race, ethnicity, gender identity
- Sexual orientation, age
- Disability, neurodiversity
- Other protected characteristics
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