Senior Solutions Architect (Data and AI)

Vacancy No VN608

Basis Permanent

Full Time / Part Time Full Time

Entity Aventum Group Management Services Ltd

Location City London

Job Details

Role Summary

We're looking for a Senior Solutions Architect (Data \& AI) to own two things that are inseparable in an AI-native organisation: the architecture of our data, and the AI products we build on top of it. Aventum works in a spec-driven development model: business intent is captured as a precise, signed specification and an agreed test pack before any code is written, with AI agents handling much of the implementation and testing. That model has changed the economics of delivery building is no longer the slow part. What determines whether an AI product is good is now, more than anything, the data underneath it: whether reference data is mastered, whether entities have a single golden record, whether data flows between our products are defined and trusted. Your job is to own that foundation and to build on it. On the data side, you own the group data architecture: domain models, master data management on Profisee, data contracts between products, lineage, and data quality the settled, governed layer that everything else assumes. On the AI side, you architect and build the AI products that consume that data: agentic workflows, LLM-based capabilities, retrieval over our mastered data, and the evaluation and guardrails that make probabilistic systems safe in a regulated insurance business. This is a hands-on role you will write specs, design schemas, and build alongside AI agents, not just review other people's designs. This is an AI-native organisation, and the strongest signal we can get is not a certification — it is what you have already built. We will ask about this at interview: data platforms you have architected, AI products you have shipped on top of them, and the ways you use AI and automation as naturally in your own work as we use them in engineering.

Role Accountabilities

• Group data architecture. Own the target data architecture across Aventum's product estate: domain models, canonical entities, and the integration patterns by which data moves between products designed once, documented as production artefacts, and kept current.
• Master data management. Own MDM on Profisee: golden-record strategy, match/merge rules, survivorship, stewardship workflows, and the reference data and lists shared across products so every product builds on the same settled facts.
• Data contracts. Define and enforce data contracts between products and with third parties: schemas, versioning, ownership, and failure behaviour agreed before build, so downstream AI and analytics workloads have reliable, well-defined inputs.
• AI product architecture. Design and build the AI products that run on this data: LLM-based capabilities, agentic workflows, retrieval over mastered data, and integration of AI components into our product platforms.
• Evaluation and guardrails. Own how we make probabilistic systems safe and measurable: evaluation harnesses, test packs for AI behaviour, monitoring, and the guardrails appropriate to a regulated insurance business.
• Specification. Work inside the spec-driven model: contribute to Design Alignment Workshops, review BRDs for data and AI feasibility before sign-off, and produce designs precise enough that engineers and AI agents can build against them without interpretation.
• Data quality and governance. Set and enforce data quality standards in partnership with underwriting, operations, and compliance lineage, controls, and the evidence that regulators and auditors expect.
• Build vs buy. Advise on model, platform and tooling selection with clear-eyed judgment about cost, risk, and regulatory exposure and the discipline to choose boring technology where boring is right.
• Working with the teams. Act as the data and AI design counterpart to Tech Leads and Principal Engineers across the product teams; resolve architectural questions before they surface as blockers in a build.

Role Requirements

• Proven experience as a Data Architect, Solutions Architect (Data/AI), or similar, with a minimum of 3 years owning enterprise or group-level data architecture.
• Demonstrated experience delivering AI, Generative AI, or LLM-based products into production environments, with accountability for the underlying data architecture.
• Extensive experience in master data management (MDM), including platforms such as Profisee or equivalent.
• Strong background in data modelling, integration architecture, API design, event-driven architectures, and enterprise data flows.
• Experience designing and implementing cloud-based data platforms, with Azure experience preferred.
• Previous experience working within regulated industries, ideally insurance or financial services.
• Strong understanding of insurance data domains, including policy, claims, customer/party, and reference data.
• Proven ability to engage and influence stakeholders across underwriting, operations, compliance, and technology functions.

Skills \& Abilities

• Deep expertise in modern AI and Data Architecture, including: Large Language Models (LLMs). Retrieval-Augmented Generation (RAG). Agentic AI architectures. AI integration and orchestration patterns.
• Evaluation and monitoring of probabilistic AI systems.
• Hands-on capability to work with AI-powered development tools and coding agents, delivering solutions at pace.
• Strong technical understanding of data governance, data quality, metadata management, and enterprise data standards.
• Exceptional written and verbal communication skills with the ability to produce clear, precise, testable, and unambiguous architectural documentation.
• Ability to translate complex business requirements into scalable and sustainable technical solutions.
• Excellent stakeholder management and influencing skills, with proven ability to build consensus across competing business priorities.
• Strong analytical, problem-solving, and strategic thinking capabilities.
• Ability to balance innovation with governance, compliance, and operational requirements in a regulated environment.

Management Duties* No

We are an equal opportunity employer, and we are proud to share that 93% of our employees say they can be themselves at work. We aim to hire our industry's finest people because the best people drive the best outcomes. And we forever challenge the status quo because we know there are always ways to improve things. Because together, we're limitless. We value applicants from all backgrounds and foster a culture of inclusivity. We understand the need for flexibility, so work in a hybrid model. Please let us know if you require any reasonable adjustments during the recruitment process.