Senior Enterprise Architect (AI Focused)

Position Overview

We are seeking a Senior Enterprise Architect (AI-Focused) to lead our enterprise AI strategy and drive the design of scalable, cloud-native AI solutions. This role will focus on agentic AI, multi-agent systems, RAG architectures, and enterprise AI integration aligned to business goals.

You will establish best practices for AI architecture, orchestration, governance, and responsible AI, while partnering with cross-functional teams to deliver secure, production-grade solutions across the organisation.

We understand the need to provide a flexible working environment partnered with team collaboration and socialisation. Therefore, we operate a hybrid working model with 3 days of working from home per week. This role is based in the London office. We are also open to candidates that are UK remote.

Key Responsibilities

• Define and lead the enterprise AI architecture strategy, aligning agentic AI capabilities with business goals

• Design and govern scalable AI architectures, including multi agent systems, data pipelines, and model lifecycle management

• Drive adoption of agentic AI frameworks and establish best practices for orchestration, tool usage, and system integration

• Architect and oversee RAG based solutions, ensuring effective retrieval pipelines, embedding strategies, and knowledge integration

• Lead integration of AI solutions across enterprise platforms, APIs, and third-party services

• Establish standards for prompt engineering, multi-step orchestration, and agent behaviour design

• Ensure robust governance, including security, compliance, auditability, and responsible AI practices

• Collaborate with engineering, data, and business teams to deliver production grade AI systems

• Provide technical leadership across cloud native AI platforms, particularly within Azure ecosystems

• Mentor teams on AI architecture patterns, emerging technologies, and implementation strategies

Must Have:

Core AI Architecture

• Experience designing AI solutions using agentic AI patterns, orchestration frameworks, and large language models

Data, Retrieval & Integration

• Strong understanding of data architecture, vector search, retrieval-augmented generation, APIs, and enterprise system integration

Cloud & Platform Architecture

• Hands-on experience with Azure AI services, cloud-native architecture, and deploying secure, scalable AI platforms in production

Governance, Security & Delivery

• Proven ability to define architecture standards covering security, compliance, responsible AI, observability, and production delivery

Technical Leadership

• Ability to guide engineering teams on solution design, implementation patterns, and technology choices for enterprise AI adoption

Knowledge of but not essential:

C#

• API development

DevOps

• CI/CD pipelines (Azure DevOps or GitHub Actions)

• Docker

• Infrastructure as Code (Terraform or Bicep)

Frontend Integration

• Angular or React for agent-facing UIs or dashboards

MCP (Model Context Protocol)

• Tool integration with agents

• MCP Apps (formerly MCP-UI) for interactive UI components

Observability & Evaluation

• LangSmith or similar tracing/evaluation tools

Streaming & Real-Time Responses

• SSE, WebSockets

Testing Non-Deterministic AI Outputs

• Evaluation strategies, golden datasets, regression testing

Cost Management & Token Budgeting

• Token usage, model trade-offs, caching strategies

Multi-Agent Orchestration

• Designing collaborative agent systems with delegation and handoffs

Fine-Tuning / Model Customisation

• Adapting models for domain-specific use cases

Authentication & Identity

• OAuth, managed identities

Logging & Audit Trails

• Compliance and traceability for agent decisions/actions

Additional LLM Providers

• Experience beyond Azure OpenAI (e.g., Anthropic, open-source via Ollama/vLLM)

Graph Databases

• Neo4j or similar for knowledge graph-backed agents

Message Queues / Event-Driven Architecture

• Azure Service Bus

Security & Guardrails

• Content filtering, prompt injection mitigation, PII handling

API Design

• REST / GraphQL for exposing agent capabilities

About Us

From the day we opened our doors, MRI Software has built flexible, game-changing real estate software that powers thriving communities and helps make the world a better place to live, work and play. Fulfilling that mission is only possible because of one thing: exceptional people. People like you!  

Our people-first approach to PropTech is defining a new industry standard for client experiences that, quite frankly, can’t be duplicated. Experiences that deliver real value every day. And we know those experiences begin with our people.  

We believe MRI is more than just a workplace; it’s a connected community of people who truly feel they belong. Whether we’re investing in employee resource groups or providing tailored resources for each person to reach their full potential, we’re passionate about creating a work environment that makes you excited to show up every single day.  

At MRI, one of our core values is to strive to amaze.  From the intelligent solutions we create to the culture we cultivate, that’s our goal every day. Because that’s what industry leaders do. Whether you’re joining as a new Pride member or rejoining us after a short time away, your talent is vital to us, our partners and our clients. 

Amazing growth requires amazing employees. Are you up to the challenge?   

We know confidence gap and imposter syndrome can get in the way of meeting remarkable candidates, so please don’t hesitate to apply. We’d love to hear from you!   

MRI is proud to be an inclusive employer. We welcome and celebrate diversity across all backgrounds, including ethnicity, religion, sexual orientation, gender identity, disability, age, military, veteran status and more. 

We believe that Belonging is a direct result of Diversity, Equity, and Inclusion. Those values are woven into the fabric of who we are and are foundational to our continued success. Come and see for yourself!