Principal AI Engineer

Job Title:
Principal AI Engineer

Contract Type:
Permanent

Role Grade: D

Location:
Edinburgh or Glasgow or Alderley Park (Wilmslow)

Working Style:
Hybrid 50% home/office based

We have a fantastic opportunity for a Principal AI Engineer to join our Group Data & AI Office Team (GDO). The GDO function is responsible for enhancing the effectiveness of data and AI use across Royal London. Our strategy at Royal London is to become an insight-led modern mutual, growing sustainably through deepening customer relationships. We want to use data, analytics and AI to offer timely, relevant, personalised guidance and support to deepen customer relationships and ultimately, increase their financial resilience.

The Principal AI Engineer is the lead technical authority within the Data & AI Solutions Team, responsible for providing technical leadership across all in-house and third‑party embedded AI applications. The role ensures the design, development, and deployment of scalable, secure, and high‑performing AI solutions. The Principal AI Engineer leads a team of AI Solution Engineers and mentors junior engineers, troubleshoots complex issues, and shapes the AI solution architecture and strategy to align with business goals.

The purpose of the Data & AI Solutions Team is to create business value through the delivery of specific Analytics, Data Science, Machine Learning, and Artificial Intelligence projects and initiatives for the Group. These initiatives will create insights, answer key business questions, solve business problems and support decision‑making at all levels of the organisation. The team will also act as a Centre‑of‑Excellence in Analytics and AI, helping to mature the Group’s capability in these areas and our ambition to become data‑led and AI‑enabled.

• Act as the lead technical authority for new AI solutions, overseeing and assuring engineering work to ensure solutions deliver desired functionality and operate within defined parameters and principles.
• Provide technical leadership for innovation efforts, proving the efficacy of new technologies and techniques.
• Run an effective R&D process, including horizon scanning and leveraging internal, external, and partner signals.
• Develop, embed, and maintain AI engineering development standards to ensure a standardised, high‑quality, reusable, and well‑documented codebase.
• Champion best practices in AI engineering, fostering a culture of technical excellence and continuous improvement.
• Advise GEC and Board on AI market trends and development and our response to them.
• Support the development of the group Data and AI Strategy.
• Create and assure AI designs for in‑house built solutions, ensuring alignment with business goals and technical standards.
• Collaborate with cross‑functional teams to define solution architectures that are scalable, maintainable and secure.
• Lead a team of highly motivated, engaged and skilled AI Solution Engineers.
• Provide guidance on modern AI engineering practices, including RAG, multi‑agent orchestration, and CI/CD for AI.

• Deep expertise in AI/ML solution development, including large language models, deep learning, and AI / LLMOps.
• Strong understanding of AI model evaluation, including bias mitigation and explainability.
• Proven ability to design and implement end‑to‑end AI architectures: data pipelines, model training, deployment, and monitoring.

• Experience leading the design of multi‑agent AI frameworks and retrieval‑augmented generation (RAG) architectures.
• Expertise with AI orchestration frameworks (Lang Chain, Semantic Kernel) and model integration protocols (e.g. Model Context Protocol).
• Expertise with vector databases (FAISS, Chroma, Pinecone, Weaviate).

• Experience with experiment tracking and model registry tooling e.g MLFlow.
• Advanced proficiency with Cloud AI Platforms:
  Microsoft Azure (including Azure AI Foundry), AWS Bedrock, GCP Vertex AI, and Databricks.
• Knowledge of cloud security, data privacy, and enterprise integration best practices.
• Strong software engineering background (Python, C#, or similar) for scalable, production‑grade AI systems.

• Experience with ML tooling (MLFlow for experiment tracking and…