AI Solutions Architect, Keyrus

• 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
• Experience with graph databases (Neo4j) and knowledge graphs

Desirable

• 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
• 🗓 Target start date: July 2026
• ⏰ Working hours: Full-time (40h/week)
• 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

• We usually respond within a week
• Note: All applications must be submitted in English
• 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