AI Architect
Posted Today by Empresaria UK Ltd
£650 Per day
Outside
Hybrid
City of London, London
Summary: The AI Architect role in the insurance sector involves leading the strategic direction and architectural design for Generative AI adoption within a major managed service engagement. The position requires deep expertise in AI architecture and integration, focusing on guiding the organization from initial discovery to scalable implementation. The role emphasizes collaboration with various stakeholders and the evaluation of AI tools and models to enhance the client's capabilities. This is a senior-level position with a long-term expectation of engagement.
Key Responsibilities:
- Identify, qualify, and shape early Generative AI use cases across the business.
- Create high-level architectures for integrating Generative AI components into existing systems.
- Evaluate models and tooling, providing recommendations based on trade-offs.
- Ensure AI components connect cleanly with existing operational systems and workflows.
- Guide the client in scaling Generative AI and establishing AI Ops practices.
- Collaborate with BAs, Product Owners, Data specialists, and technical SMEs.
Key Skills:
- Strong background in Generative AI architecture and end-to-end AI solutions.
- Solid understanding of RAG patterns, model orchestration, and prompt design.
- Experience evaluating and implementing AI models across Azure and other platforms.
- Expert knowledge of enterprise integration and middleware patterns.
- Proven experience working with low AI maturity organizations.
- Ability to operate effectively within mixed functional teams.
Salary (Rate): £650/day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Job Specification: AI Architect - Insurance Sector
Role: AI Architect
Sector: Insurance
Location: London (Hybrid: 1-3 days in-office/client site)
Duration: 12 Months Initial (Long-Term Expectation)
IR35 Status: Expected Outside IR35
Start Date: April 1st
Role Overview
We are seeking a highly experienced, consultative AI Architect to join a major managed service engagement with a leading Insurer.
The client is in the early stages of adopting Generative AI (Gen AI) and requires an architect who can define the strategic direction, establish architectural patterns, and guide the organization from discovery through to scalable implementation.
This is a senior, technology-focused position that requires deep expertise in Gen AI architecture, tooling evaluation, and integration.
This is explicitly not a data engineering or classic data platform build role; the focus is on architectural direction, solution design, and low-maturity organizational uplift.
Key Responsibilities
The architect will be central to helping the client understand, qualify, and scale their AI capability:
- Gen AI Strategy & Use Case Identification: Identify, qualify, and shape early Gen AI use cases across the business. Assess feasibility and recommend the most effective technical approach.
- Architectural Design: Create high-level architectures demonstrating how Gen AI components (including LLMs) integrate cleanly into the existing enterprise estate (which currently includes Azure and Snowflake).
- Model & Tooling Evaluation: Compare model families, implementation patterns (e.g., RAG patterns), and platforms (Azure native and broader market options). Provide clear pros and cons to explain trade-offs and recommend the right fit.
- Integration & Middleware: Deeply understand middleware, integration layers, and enterprise patterns to ensure AI components connect cleanly with existing operational systems and workflows.
- Scaling & AI Ops Guidance: Guide the client through early-stage adoption and help them build a repeatable model for scaling Gen AI, supporting the transition from discovery into delivery and establishing AI Ops practices.
- Team Collaboration: Work closely with BAs, Product Owners, Data specialists, and technical SMEs within a large, globally distributed delivery team.
Required Experience and Skills
Technical Architecture
- Deep AI Architecture: Strong background in Gen AI architecture, particularly in designing and implementing end-to-end AI solutions in a commercial environment (not limited to just LLMs).
- LLM Focus: Solid understanding of RAG patterns, model orchestration, prompt design, and guardrails.
- Platform Flexibility: Experience evaluating and implementing model families across Azure and non-Azure environments. Broad cloud knowledge across Azure and at least one other major provider is required.
- Integration: Expert knowledge of enterprise integration and middleware patterns is essential for embedding AI into existing operational flows.
Consultative & Professional Skills
- Low-Maturity Uplift: Proven experience working with organizations with low AI maturity, helping them define what Gen AI can do, where to start, and how to scale.
- Consultative Approach: Ability to assess benefits and constraints and provide clear architectural direction without heavy sign-off structures.
- Team Collaboration: Ability to operate effectively within mixed functional teams and contribute to a globally distributed delivery team that spans different time zones.
Logistics
Start Date: Targeted for end of Q1.
Interview Process: The selection process will conclude by Mid-March
Working Pattern: Hybrid model, requiring 1 to 3 days per week on-site in London, based on programme demand.