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Enterprise Architect – Data & AI
Business Area: CTO – Analytics & AI
Location: Bristol – Hybrid
Contract Length: 6 months
Engagement: Contract
Role Overview
We are looking for an experienced Enterprise Architect to support the design and delivery of scalable Data and AI architecture across a major enterprise environment.
The successful candidate will bring broad technical expertise across Machine Learning, Generative AI, Large Language Models and Agentic AI. You will be responsible for translating complex technical requirements into reusable enterprise architecture patterns that can be adopted across multiple teams and programmes.
Key Responsibilities
- Define enterprise architecture principles, standards and reusable design patterns for Data and AI solutions.
- Design scalable, secure and cloud-native AI architectures across Azure and/or Google Cloud Platform.
- Provide architectural leadership across Machine Learning, Generative AI, LLM and Agentic AI initiatives.
- Design patterns for hosting, fine-tuning, optimising and orchestrating Large Language Models.
- Develop architecture covering prompt engineering, embeddings, vector search and retrieval-augmented generation.
- Define MLOps and LLMOps patterns supporting model development, deployment, monitoring, governance and lifecycle management.
- Design Agentic AI architectures incorporating tool use, memory, orchestration and multi-agent workflows.
- Ensure AI solutions integrate effectively with enterprise data platforms, distributed systems and existing technology estates.
- Assess data sourcing patterns, platform constraints, security requirements and scalability considerations.
- Work closely with engineering, data, cloud, security and business stakeholders to translate requirements into practical architectural solutions.
- Produce clear architectural documentation, roadmaps, reference architectures and governance standards.
- Support technical decision-making and ensure solutions align with wider enterprise technology strategy.
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Essential Skills and Experience
- Strong experience working as an Enterprise Architect, Data Architect, AI Architect or similar senior architecture professional.
- Broad technical expertise across AI, Machine Learning and predictive modelling.
- Strong understanding of MLOps and the industrialisation of Machine Learning pipelines.
- Hands-on architectural knowledge of LLMOps, prompt engineering, embeddings and vector search.
- Experience designing solutions involving Large Language Models, including hosting, tuning, optimisation and governance.
- Strong knowledge of Generative AI, model orchestration and retrieval-augmented generation.
- Experience designing Agentic AI solutions involving tool-use patterns, memory and multi-agent workflows.
- Knowledge of vector databases, distributed systems and scalable AI workload architecture.
- Strong understanding of enterprise data platforms, data sourcing patterns and associated constraints.
- Experience designing scalable cloud-native architectures using Azure and/or GCP.
- Demonstrable ability to convert complex technical architectures into reusable enterprise design patterns.
- Strong stakeholder-management and communication skills, with the ability to engage technical and non-technical audiences.
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Desirable Experience
- Experience delivering Data and AI architecture within a large, complex or regulated enterprise.
- Knowledge of AI governance, responsible AI, model risk management and security controls.
- Familiarity with modern data platforms, APIs, event-driven architecture and microservices.
- Experience defining enterprise AI strategies, capability roadmaps or architecture governance frameworks.
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