AI Engineer
WaystoneLeeds, England, United Kingdom
Added 29 Jul · still live
Not disclosed
Salary
Not disclosed by employer
£41,700
Going rate
Skilled Worker going rate
This role may qualify for a Skilled Worker visa
SOC 5242 is an eligible occupation, but we classified this role with low confidence (41% match). If the code is right — and Waystone is a licensed sponsor — it should qualify, but double-check the occupation eligibility rules against the actual role.
About the role
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:
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.
- Prototype AI features and iterate towards production‑ready capabilities.
- Build agentic workflows using frameworks such as LangChain or Microsoft Agent Framework, with a solid understanding of agent fundamentals (tools, memory, orchestration, context control).
- Implement AI agents with tool integration, memory, context control, and guardrails.
- Develop retrieval‑augmented workflows to enhance context, reliability, and performance.
- Perform quality assurance on AI outputs by implementing robust AI observability practices, including monitoring model behaviour, detecting anomalies, and ensuring visibility into AI performance and reliability.
- Contribute to ongoing research and development, staying current with emerging AI tools, frameworks, and techniques to identify opportunities for innovation and improvement.
- Apply sound judgment to determine when not to use AI, ensuring traditional deterministic solutions are chosen when they are safer, simpler, or more cost effective.
- Ensure AI-enabled solutions consider full total cost of ownership, including token consumption, performance, observability, and ongoing maintenance, with awareness of cost‑efficiency and model‑selection trade‑
Knowledge Sharing, Mentoring And Governance
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Knowledge, Skills And Abilities
- Mentor and support both technical and non‑technical staff (e.g. citizen developers), fostering knowledge sharing and strengthening AI fluency across Waystone.
- Act as AI subject matter expert for engineering, testing, architecture teams, as well as business functions across the wider organisation. Deliver demos, internal evangelism, and produce reference documentation.
- Nurture the wider internal community, helping uplift AI adoption and responsible, high‑value usage across the business.
- Lead the design and documentation of AI-enabled solutions, contributing to Solution In Principle (SIP) or Solution Architecture Design (SAD) documents as needed.
- Collaborate with delivery teams throughout the project lifecycles, offering guidance on AI-enabled solutions and addressing technical challenges as they arise.
- Develop internal best practices for prompt engineering, AI-processed data handling, AI-assisted coding, creation and sharing of custom agents, and responsible AI usage.
- Contribute to AI governance, ethics, compliance, and risk control activities.
- Ensure AI solutions comply with enterprise architecture principles, security policies, data governance standards, human-in-the-loop controls, and regulatory requirements.
- Monitor and mitigate AI risks, raising concerns early and recommending remedial actions.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Knowledge, Skills And Abilities
- Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases.
- 5+ years development experience across APIs, integrations, microservices, or full‑stack development.
- Demonstrated real‑world experience supported by a portfolio of work that highlights applied skills, solution delivery, and measurable impact, including personal or open‑source AI projects where applicable.
- Solid experience integrating AI into workflows and systems across both low‑code and high‑code platforms.
- Hands‑on use of AI coding assistants (e.g., GitHub Copilot, Claude Code) and autonomous software engineering agents.
- Degree in Computer Science, IT, Engineering, or a related discipline (or equivalent practical experience).
- Professional certifications in AI Fluency or specialised AI / ML technologies are advantageous, although strong self‑directed learning and practical AI experience are equally valued.
This description is the source posting as it read when we added it. We are not affiliated with Waystone, so check their own site for the current details.
Where this offer sits in the market
SOC 5242 · UK · ONS ASHE 2025 · ~24k in sampleP25 £35kP75 £47k
£29kmedian £40kgoing rate £42k£47k
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Does this job guarantee visa sponsorship?
Not necessarily. Waystone holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
What salary is needed for this role to be eligible?
The offer must clear both the general threshold and the SOC 5242 going rate of £41,700. New-entrant and shortage discounts can lower it.