As part of its transformation around Data, AI and Agentic AI, our client, a leading player in the insurance industry, is launching a strategic initiative to design and implement a Semantic Layer.

This layer will sit between enterprise data and AI/LLM models, enabling AI solutions to better understand the business vocabulary, concepts, relationships and rules specific to the insurance industry.

The objective of the project is therefore to assess and compare the different architectural and technology options, define the target architecture and contribute to the selection of the most relevant solution to build this Semantic Layer and support future Data, Analytics, AI and Agentic AI use cases.

We are looking for a Senior Solution Architect with strong experience in Data & AI, Enterprise Architecture and BI/Analytics, who can bridge the gap between business requirements, data and emerging AI technologies.

Key Responsibilities

As a Data & AI Solution Architect, you will be responsible for:

• Define and document the target architecture for the Semantic Layer, in line with the company's Data, AI and Enterprise Architecture strategy.
• Assess and compare different architectural approaches and technology solutions for implementing a Semantic Layer.
• Analyse the interactions between the Semantic Layer, data sources, Data platforms, BI/Analytics solutions, AI/ML models, LLMs and AI agents.
• Identify and formalise the business concepts, terminology, relationships and business rules required for AI solutions to understand the insurance business context.
• Gather functional and non-functional requirements and ensure that the proposed architecture addresses key requirements including performance, security, scalability, governance and integration.
• Evaluate market technologies and platforms and lead or contribute to RFI, RFP and POC activities required to assess and select the target solution.
• Design integration architectures with existing systems and the wider enterprise IT landscape.
• Contribute to the definition of a Data & AI reference architecture, including architecture principles, patterns, standards, rules and best practices.
• Produce architecture documentation and present proposed solutions to Architecture Governance Boards.
• Provide architectural guidance and support to Data, AI, BI and development teams during implementation.
• Contribute to the definition of the company's Data & AI strategy and ensure alignment with the overall IT strategy.
• Drive technology watch and awareness around LLMs, Generative AI, Agentic AI, Knowledge Graphs, Ontologies, Semantic Layers, Data Products and Data Governance.
• Organise and facilitate knowledge-sharing and awareness sessions on emerging Data & AI technologies and architectures.

Required Expertise

Enterprise & Solution Architecture

• Strong experience in designing and implementing complex architectures within large and heterogeneous IT environments.
• Strong knowledge of Enterprise Architecture principles and practices.
• Expertise in TOGAF and ArchiMate.
• Proven experience defining target architectures and transformation roadmaps.
• Ability to assess complex existing environments and propose and compare different architectural options.

Data / BI / Analytics

• Strong expertise in Data Architecture.
• Strong understanding of BI and Analytics architectures.
• Good knowledge of Data Governance, Data Quality, Metadata Management and Master Data Management.
• Good understanding of semantic modelling, ontologies and knowledge graphs.

AI / GenAI

• Experience designing AI / Machine Learning / Generative AI architectures.
• Strong understanding of LLMs and their limitations, particularly regarding enterprise and business-specific knowledge.
• Understanding of Agentic AI architectures and how AI agents can interact with enterprise data and systems.
• Experience with Semantic Layers, Knowledge Graphs, Ontologies, RAG and/or LLM-based solutions would be highly desirable.
• Ability to assess emerging technologies and lead or contribute to technology evaluations and POCs.

Security

• Good understanding of Security Architecture principles, particularly within Data and AI environments.
• Awareness of security, data privacy, access control and governance challenges related to enterprise AI and GenAI.

Insurance Business Knowledge

• Previous experience in the insurance industry is strongly preferred.
• Good understanding of key insurance business domains such as policies, products, coverage, claims, customers/policyholders, risks, pricing and compensation would be a strong advantage.

Experience

• Minimum 5 years of experience in Solution Architecture and/or Enterprise Architecture.
• Significant experience working on Data and/or AI transformation projects.
• Experience working in complex, large-scale and multi-system environments.
• Experience assessing technology solutions and conducting RFI/RFP/POC activities.

Personal Skills

• Strong ability to think strategically and at target-architecture level.
• Ability to translate complex business challenges into clear architectural models and solutions.
• Strong analytical and problem-solving skills, with the ability to objectively assess and compare technology options.
• Excellent communication skills and ability to interact with business stakeholders, Data, AI, IT and Architecture teams.
• Strong ability to explain and simplify complex Data and AI concepts to different audiences.
• Autonomous, proactive and able to drive a strategic initiative within a complex enterprise environment