Senior AI Engineer & Lead, Keyrus

• You are naturally curious and passionate about applying AI to solve real-world business problems
• You enjoy working at the intersection of technology, data, and business strategy, translating complex challenges into practical solutions
• You are comfortable operating with a high degree of autonomy, ownership, and accountability
• You thrive in environments where requirements are evolving and ambiguity is common, using structured thinking to create clarity and direction
• You enjoy partnering directly with stakeholders to understand problems deeply before designing solutions
• You balance innovation and experimentation with a strong focus on production readiness, reliability, and business value
• You are equally comfortable discussing technical architectures with engineers and explaining outcomes to non-technical audiences
• You continuously learn and stay current with developments across Generative AI, Agentic AI, retrieval systems, and enterprise data platforms
• Relevant academic background or equivalent professional experience
• Proven experience delivering AI, Data, or Software Engineering solutions in production environments
• Experience working directly with business stakeholders to identify requirements and shape technical solutions
• Demonstrated ability to independently drive initiatives from concept through implementation
• Experience working with financial data, regulatory datasets, or enterprise information environments
• Professional proficiency in English
• Willingness to travel occasionally when required
• Strong Python expertise, including APIs, asynchronous architectures, data pipelines, and production-grade applications
• Hands-on experience with Generative AI and LLM-based solutions, including:
• Prompt Engineering
• Structured Output Generation
• Agent Orchestration
• Agentic Workflows
• Multi-Step Reasoning
• Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including:
• Embeddings
• Vector Databases
• Retrieval Pipelines
• Chunking, indexing, and evaluation frameworks
• Experience with Knowledge Representation and Semantic Modelling, including:
• Knowledge Graphs
• Semantic Search
• Metadata-Driven Architectures
• Strong SQL skills, including analytics, joins, and window functions
• Experience with Python frameworks such as FastAPI, pandas, and related technologies
• Experience working with enterprise data platforms such as Snowflake
• Strong analytical thinking and structured problem-solving capabilities
• Ability to translate business requirements into scalable technical solutions
• Excellent communication and stakeholder management skills

Desirable

• As an AI Engineer & Lead, you will help organisations transform complexity into measurable outcomes by combining artificial intelligence, data, semantic technologies, and human decision-making
• This role is both technical and consultative — ideal for someone who can combine hands-on engineering, AI solution design, and direct stakeholder engagement
• Working closely with analysts, researchers, engineers, and business leaders, you will design and deliver AI-powered solutions that transform how organisations discover, understand, and interact with data
• Operating in a manner similar to a Forward Deployed Engineer (FDE), you will own initiatives from problem discovery through implementation, deployment, and optimisation, translating complex business challenges into scalable, production-ready solutions
• Lead the design and implementation of AI-powered solutions across enterprise data and analytics environments
• Partner directly with business stakeholders to understand challenges and convert requirements into practical, scalable technical solutions
• Build and deploy production-grade agentic AI systems leveraging LLMs, retrieval architectures, semantic models, and knowledge representations
• Develop intelligent document processing solutions focused on financial filings, regulatory content, and structured financial data
• Design and enhance semantic search, retrieval, and data discovery capabilities that improve access to enterprise knowledge
• Build natural language interfaces that enable non-technical users to interact effectively with complex datasets
• Contribute to metadata modelling, governance frameworks, and AI enablement initiatives
• Own the full solution lifecycle from discovery, design, and development through deployment, optimisation, and continuous improvement
• Act as a trusted technical partner for both business and technical stakeholders, driving outcomes with a high degree of autonomy
• ---What Makes You Successful---
• You focus on solving business problems rather than simply implementing technology
• You can quickly understand complex domains and translate ambiguous requirements into structured solutions
• You build AI systems that balance innovation, usability, reliability, and scalability
• You understand that successful AI solutions require more than models—they require strong foundations in data, retrieval, governance, and user experience
• You are comfortable owning outcomes end-to-end, from initial discovery workshops to production deployment
• You build trust with stakeholders through clear communication, technical expertise, and consistent delivery
• You continuously look for ways to improve how users discover, access, and interact with information
• You embrace emerging technologies while remaining pragmatic about business value and operational realities
• You contribute to collective intelligence by sharing knowledge, mentoring others, and helping raise the standard of delivery across teams
• Working hours: Full-time (40h/ week)
• Contract type: Employee or Inside IR35

• We usually respond within a week
• Target start date: August 2026