Senior Enterprise Architect (AI Focused)

  • Deepstreamtech
  • 19/05/2026
Full time Information Technology Telecommunications Management

Job Description

Requirements
  • Agentic AI Frameworks
  • LangChain, LangGraph, Microsoft Agent Framework (formerly AutoGen / Semantic Kernel), CrewAI
  • Databases
  • SQL databases (ideally PostgreSQL) for configuration & operational data
  • NoSQL vector databases (ideally Azure Cosmos DB) for embeddings & retrieval
  • Azure Platform
  • Azure AI Foundry (agent building & orchestration)
  • Azure OpenAI Service
  • Azure AI Services
  • App Service
  • AI Techniques
  • RAG architectures (chunking strategies, embedding models, retrieval pipelines)
  • Data agents with Power BI integration
  • Python
  • Agent development, ML techniques, APIs
  • Prompt Engineering
  • System prompt design
  • Tool/function calling patterns
  • Multi-step orchestration
  • API Integration
  • Calling and orchestrating third-party APIs for agent tool use
  • Knowledge Of
  • 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
What the job involves
  • 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
  • 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