Senior Enterprise Architect; AI Focused

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 Cape Town office.

• 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.

• Core AI Architecture Experience designing AI solutions using agentic AI patterns, orchestration frameworks, and large language models.
• Strong understanding of data architecture, vector search, retrieval‑augmented generation, APIs, and enterprise system integration.
• Hands‑on experience with Azure AI services, cloud‑native architecture, and deploying secure, scalable AI platforms in production.
• Proven ability to define architecture standards covering security, compliance, responsible AI, observability, and production delivery.
• Ability to guide engineering teams on solution design, implementation patterns, and technology choices for enterprise AI adoption.

• C# API development.
• Dev Ops CI/CD pipelines (Azure Dev Ops or Git Hub 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 tools such as Lang Smith.
• Streaming & Real‑Time Responses (SSE, Web Sockets).
• Testing Non‑Deterministic AI Outputs and 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 such as Neo4j 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 / Graph
  
  QL for exposing agent capabilities.

• Employee‑led resource groups (Diversity, Equity & Inclusion committee, Women and Allies, Pride Event Group).
• Private Medical Insurance and Health Cash Plan.
• Personal Pension plan.
• Parental Leave Program.
• 25 days annual leave plus bank holidays, with six early‑finish days per year.
• Income Protection Plans.
• Tuition Reimbursement Schemes.
• Flexibility to work from anywhere in the world for two weeks per year.

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.