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AI Solutions Architect at Keyrus, London, £Contract Option

Duration not stated

Contract Description

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 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

 

The Role

As an AI Solutions Architect, you will work at the intersection of artificial intelligence, data engineering, and business problem-solving, helping transform how analysts, researchers, engineers, and business stakeholders interact with data.

You will join a small, highly skilled team and work directly with senior stakeholders to identify opportunities, design AI-powered solutions, and deliver them into production.

This is a hands-on role, combining deep technical expertise with strong communication skills, where you will independently drive initiatives from problem discovery through implementation.

This role closely resembles a Forward Deployed Engineer (FDE) profile: engaging directly with stakeholders, understanding complex business challenges, rapidly prototyping and deploying solutions, and taking full ownership of outcomes.

Job location: London, UK (Hybrid, flexible)
Contract type: Employee or Inside IR35
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.

 

Your Impact

In this role, you will:

  • Lead the design and implementation of AI-powered solutions across enterprise data and analytics functions

  • Work directly with stakeholders to understand business challenges and translate them into technical solutions

  • Build production-grade agentic AI systems leveraging LLMs, retrieval architectures, semantic models, and knowledge representations

  • Develop intelligent document processing solutions for financial filings and structured financial content

  • Design and enhance semantic search, retrieval, and data discovery capabilities

  • Build natural language interfaces enabling non-technical users to interact with complex datasets

  • Contribute to metadata modelling, governance frameworks, and AI enablement initiatives

  • Own the full lifecycle from discovery through implementation, deployment, and optimisation

  • Act as a trusted technical partner, driving delivery and business value independently

 

What Makes This Role Challenging

  • You will operate in a highly visible environment where both technical excellence and stakeholder management are critical

  • You will work on complex AI initiatives involving financial data, regulatory filings, and enterprise-scale retrieval systems

  • You will be expected to operate with high autonomy and ownership

  • Requirements will often be ambiguous and evolving, requiring structured problem-solving

  • You must balance innovation and experimentation with reliability and production-grade quality

  • You will regularly interact with senior stakeholders, translating complex technical concepts clearly

 

What We’re Looking For

Must-haves

  • Strong experience developing solutions in Python (APIs, async architectures, pipelines, production systems)

  • Hands-on experience with LLMs and Generative AI, including:

    • Prompt engineering and structured output generation

    • Tool use and agent orchestration

    • Agentic workflows and multi-step reasoning

  • Strong experience designing RAG (Retrieval-Augmented Generation) architectures:

    • Embeddings, vector databases, retrieval pipelines

    • Chunking, indexing, and evaluation frameworks

  • Experience with knowledge representation and semantic modelling:

    • Knowledge graphs, semantic search, metadata-driven architectures

  • Strong SQL skills (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 ability to work with high autonomy and ownership

  • Experience working with financial data / regulatory datasets

  • Fluent English

  • Willingness to travel occasionally if needed

Nice-to-haves

  • Experience with AWS Bedrock or enterprise AI platforms

  • Experience with AI development tools (Copilot, Cursor, Claude Code, etc.)

  • Experience with graph databases (Neo4j) and knowledge graphs

  • Experience with financial data extraction (SEC, EDGAR, XBRL)

  • Exposure to metadata platforms (Collibra, MDM)

  • Experience building AI-powered data marketplaces or semantic search platforms

  • Background in consulting / solution architecture / FDE roles

  • Experience working in highly consultative, enterprise environments

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