AI Engineer
Designs and integrates AI capabilities into enterprise systems and automation workflows, bridging AI technologies with existing platforms while ensuring responsible adoption and compliance.
- Compensation
- Not disclosed
- Location
- Leeds, West Yorkshire, United Kingdom
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Full description
About Waystone
Waystone is a leading asset-servicing solutions provider of institutional governance, administration, risk and compliance services to financial institutions. With over 25 years’ experience and a comprehensive range of specialist services to its name, Waystone helps our clients structure, operate and grow through our expertise, innovation and digitisation, backed by the operational scale to support global expansion
Summary: Reporting to the AI & Automation Manager, the AI Engineer is responsible for embedding artificial intelligence capabilities into Waystone’s engineering, automation, and assurance ecosystems. Acting as a bridge between cutting‑edge AI technologies and existing high‑code and low‑code platforms, the role focuses on AI enablement rather than foundational model building, ensuring intelligence is thoughtfully integrated into systems and workflows. The AI Engineer designs, develops, and assures AI-enabled solutions, improves automation efficiency, elevates engineering quality, and mentors teams on responsible and effective AI adoption. The mission is to drive innovation, productivity, and intelligent automation across Waystone while upholding compliance, security, and architectural integrity. The role requires strong hands‑on engineering skills, practical understanding of agentic AI patterns, and the ability to guide teams on effective and responsible AI usage.
ESSENTIAL DUTIES AND RESPONSIBILITIES
AI Enablement and Integration:
- Hands-on contributor to the design and development of AI-enabled solutions, capable of writing both production-quality code and rapid experimental prototypes.
- Develop and implement AI‑enabled microservices, APIs, applications, and internal tools.
- Integrate AI capabilities following secure, scalable engineering best practices.
- Design, build and validate AI‑driven solutions leveraging providers such as OpenAI and Anthropic.
- Enhance low‑code/no‑code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant.
- Implement Model Context Protocol (MCP) servers for secure AI‑to‑system connectivity.
- Lead AI‑based document parsing and intelligent data extraction initiatives.
- Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents.
- Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‑value AI opportunities across Waystone.
AI Engineering: