Senior Enterprise Architect (AI Focused)

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

Requirements

• 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
• We're obsessed with making this the best job you've ever had!
• We want our teams to love working here, so we've created some incredible perks for you to enjoy:
• Join our employee-led groups to maximise your experience at work such as our Diversity, Equity and Inclusion committee, employee resource groups such as Women and Allies, and our Pride Event Group.
• Enjoy peace of mind over yours and your family's health with our Private Medical Insurance and Health Cash Plan.
• Invest in our competitive Personal Pension plan and help set you up for your future.
• Big on family? So are we! We understand family is important and being able to spend quality time with your family as it grows is a wonderful experience. Our Parental Leave Program is designed to give you the opportunity to spend even more time with your new arrival(s).
• Enjoy a fantastic work-life balance with 25 days of annual leave plus Bank Holidays, and finish early 6 times a year with our 'Flexi' scheme.
• Income Protection Plans give you the peace

Benefits

Additional Information

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.

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