6 of 6 Permanent A2A Protocol Jobs in London

patterns and reference architectures for Agentic AI solutions, leveraging Azure AI Foundry as the pro-code platform - including multi-agent orchestration, tool integration (MCP, A2A, OpenAPI), agent memory, and enterprise knowledge grounding (RAG)* Assess opportunities for Intelligent Automation based on technical feasibility and business value, to enable prioritisation ...

Language Models (LLMs) RAG Pipeline Development: Building retrieval systems using vector databases Core RAG Components & Optimization : Doc Chunking , Embeddings , Parallel Processing , Agent building and A2A Orchestration & Engineering : Orchestration, LangChain , LangGraph , LangFlow , LangFuse , MCP GraphRAG : Knowledge graphs ontology and without ontology Model QA &Testing ...

requires a strong interest and knowledge of the world of AI in a business context, its use cases, key developments and releases (e.g. MCP, A2A protocol, GPT-5), and the major AI and agent platforms operating in this space. The candidate’s knowledge should extend ...

experience with platforms such as Azure ML Studio, Palantir Foundry, or Databricks Mosaic . Familiarity with NLP, LLM deployment, agent-based AI (MCP, A2A, N8N), and advanced RAG architectures . Roles and Responsibilities: Lead the end‐to‐end development, deployment, and delivery of AI and machine learning solutions … model training, evaluation, optimisation, and production deployment. Serve as a thought leader on emerging AI technologies, including LLMs, generative AI, agent-based systems (MCP, A2A, N8N), and advanced RAG frameworks , helping guide innovation and best practices. Communicate complex technical concepts to non‐technical stakeholders, providing clear strategic recommendations ...

what this team needs. The company This is an AI‐native integration layer for SaaS products and agents: unified APIs, MCP‐friendly tooling and A2A (agent‐to‐app and app‐to‐app) bridges so builders can wire their products into hundreds of third‐party tools without hand‐rolling every ...

evolve a production-ready AI platform Design and deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling to accelerate engineering delivery … systems Experience shipping AI-powered features into production environments Proficiency in at least two modern programming languages Familiarity with emerging AI tooling (e.g. MCP, A2A, Threads or similar) Consultancy or client-facing technology delivery experience Desirable: Experience with vector databases, embeddings, or model fine-tuning Cloud platform experience ...