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# Manager, AI Architect Insurance, Engineering, AI & Data, Technology & Transformation

- **Company:** Deloitte
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Component-Based Software Engineering, Cloud Engineering, Software Design Patterns, DevOps, Digital Architecture, Identity and Access Management, Information Systems Security Architecture Professional, Data Streaming, Subsystems, Enterprise Data Management, Enterprise Software Applications, Spring Cloud, Large Language Models, Generative AI, Agentic-AI, Containerization, AI Platforms, Kubernetes, Api Management, Microservices
- **Published:** November 3, 2026
- **Apply:** https://apply.deloitte.co.uk/UKCareers/Login?jobId=25664

## About the Role

You will be working with clients and other third parties, as well as Deloitte teams from across the Firm. You will have the opportunity to work with a huge variety of interesting, international, and world-leading clients who are navigating an evolving marketplace where Agentic AI is taking artificial intelligence to a new level. This technology has the potential to transform various industries by creating higher-order opportunities such as new services, business models, and improved productivity across the value chain. You will have a degree of technical knowledge, as well as the ability to communicate to business users., * 4+ years of experience in enterprise architecture, solution architecture, or a related technical architecture role.

 * Hands-on experience designing AI and LLM-based solutions.
 * Experience with agentic architectures including LLM integration, observability and identity management patterns.
 * Strong understanding of microservices, APIs, event-driven integration, and cloud-native design patterns.
 * Experience designing secure, scalable, and highly available enterprise solutions.
 * Experience defining and applying architecture standards across multiple delivery teams.
 * Experience conducting architecture reviews and technical design assessments.
 * Understanding of enterprise security, data protection, identity, access management, and secure AI design principles.
 * Ability to communicate complex technical concepts to both technical and nontechnical stakeholders.
 * Strong documentation, collaboration, and problem-solving skills., * Experience in the insurance industry.
 * Experience with cloud platforms and managed AI services.
 * Experience with API management, containerization, Kubernetes, and DevOps practices.
 * Experience integrating AI capabilities with core insurance enterprise data platforms.

Connect to your business - Technology and Transformation

## Description

We are seeking an AI Architect with advanced experience in designing agentic systems, APIs, microservices, and cloud-native architectures. In this role you will lead the design and support the implementation of AI solutions that meet business needs, align with enterprise architecture standards, and address security, scalability, and maintainability requirements.

The architect will define solution blueprints, establish technical standards, and provide architectural guidance to delivery teams developing AI-enabled enterprise solutions., * Design end-to-end solution architectures that embed AI capabilities into enterprise systems.

 * Establish architectural standards for LLM-based applications, agentic workflows, prompt and context management, and supporting services.
 * Evaluate and recommend AI platforms, frameworks, models, and tools based on technical feasibility, architectural fit, security, and long-term scalability.
 * Develop solution-specific blueprints covering application components, subsystems, interfaces, integrations, and data flows.
 * Translate approved solution elements into designs that satisfy business, technical, security, performance, and scalability requirements.
 * Establish architecture standards, design principles, and governance frameworks for microservices, APIs, and cloud-native applications.
 * Model application, data, integration, and security architectures to support maintainable and scalable solutions.
 * Define interaction requirements among application components, subsystems, APIs, and external services.
 * Lead architecture reviews and technical design assessments.
 * Ensure that proposed designs align with enterprise architecture standards and security requirements.
 * Collaborate with business stakeholders, product teams, security teams, infrastructure teams, and delivery teams to translate requirements into practical technical designs.
 * Identify architectural risks, dependencies, performance considerations, and integration constraints.
 * Document architecture decisions, design patterns, interface requirements, and implementation guidance.