13 of 13 A2A Protocol Jobs in the UK

security: Pinecone, Weaviate, ChromaDB, pgvector access control and data isolation; Knowledge of emerging AI standards: MCP (Model Context Protocol), Agent‐to‐Agent (A2A) Protocol, and AI gateway patterns; Security certifications: CISSP, CISM, OSCP, GIAC (GPEN/GWAPT), or cloud‐specific security certs (AWS Security Specialty ...

tools like Pegasus, Ragas, DeepEval Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP Strong programming skills in Python (experience with LangChain/LangGraph/LangSmith frameworks) and TypeScript (preferable) Solid understanding of LLMs, prompt engineering ...

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 ...

banking, CRM, risk, payments) Design audit ready agent interactions, tool usage logs, and decision provenance Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns) Hands on expertise with agentic frameworks (orchestrators) Experience with LLMs, prompt engineering, tool/function calling, memory management API first integration, event driven ...

monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter-agent communication protocols (e.g. A2A) Familiarity with MCPs for tool and context integration in agentic systems Familiarity with secure-by-design development principles (ISO 27001, NIST, OWASP) Experience ...

search) Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings Experience with cloud platforms (AWS preferred) Awareness of emerging AI tooling (e.g. MCP, A2A, Threads or similar) Open-source contributions or side projects, particularly involving scalable systems or AI This role is best suited to software engineers ...

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 ...

Microsoft 365 including M365 Copilot Teams, SharePoint-related infrastructure Knowledge of Azure AI Foundry and Microsoft 365 SDK Knowledge of Model Context Protocol, Agent to Agent and LLM selection an advantage Software Development Experience, including proficiency in one or more of the following: Python, JavaScript, JSON, React ...

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 ...

What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Designing internal AI tooling to accelerate delivery Leading advanced technical AI sessions within our upskilling programme Evaluating emerging AI tools, frameworks … engineering, agent workflows, RAG systems) Experience shipping AI-powered features to production Proficiency in 2+ modern programming languages Familiarity with evolving AI tooling (MCP, A2A, Threads or similar) Consultancy or client-facing delivery experience Desirable: Vector databases, embeddings, fine-tuning Cloud experience (AWS preferred) Open-source contributions or visible ...