26 to 50 of 106 A2A Protocol Jobs in the UK

patterns, with hands-on experience applying security at multiple layersPreferred Qualifications, Capabilities, and Skills: Experience with agent frameworks and protocols (Google ADK, LangGraph, MCP, A2A, AG-UI)Experience with Databricks, MLflow, Spark, and Delta Lake or Apache IcebergExperience serving models on Kubernetes, including GPU workloads and fine-tuned small ...

securityDisplay in-depth knowledge of financial services industry IT systemsPreferred Qualifications, Capabilities, and Skills: Deep experience with agent protocols and frameworks such as MCP, A2A, AG-UI, Google ADK, or LangGraphExperience with agent payment and mandate patterns, or regulated workflows requiring auditable LLM outputExperience with OpenFGA or OPA/ ...

isolation to the applicationAbility to influence across organizational boundaries and communicate with executive audiencesPreferred qualifications, capabilities, and skillsExperience with agent frameworks and protocols (MCP, A2A, Google ADK, LangGraph) and agent evaluation practicesExperience with Databricks, MLflow, and model serving on Kubernetes in AWSExperience delivering AI systems through model risk management ...

reliability initiatives in scale‐up or regulated environments, Operator development, CRD automation, eBPF, Cilium, policy‐as‐code with OPA or Kyverno, MCP and A2A orchestration patterns, Agent Gateways and Registries, secure containers, sandboxing, confidential computing, Spark, Databricks, Data Mesh, Go, Python, TypeScript, open‐source or CNCF community contributions. Условия ...

deep understanding of Generative and Agentic AI, LLMs, retrieval-augmented generation (RAG), machine learning, and modern interoperability standards such as the Model Context Protocol (MCP), along with a proven track record of architecting and implementing innovative, enterprise-scale solutions. As a Senior Architect/Consultant, you will play … . Proven ability to architect reliable agentic workflows with memory, state management, orchestration, and safe multi-step task execution at scale. Model Context Protocol (MCP) & Interoperability: Strong working knowledge of the Model Context Protocol (MCP) for standardized, secure connectivity between LLMs/agents and enterprise tools ...

specialist teams across the organization. Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external … with Retrieval‐Augmented Generation (RAG), prompt engineering, background/conversational agents, voice AI integrations, or open protocols (e.g., Model Context Protocol - MCP, A2A). Rapid Prototyping & Whiteboarding: Demonstrated ability to lead technical discovery workshops and co‐create rapid proof‐of‐value prototypes (<2 weeks) for C‐suite ...

LLMs or MITRE ATLAS.Agentic Frameworks Security: Proven experience securing agentic frameworks (ADK, MCP), agentic first infrastructure and implementing robust agent-to-agent (A2A) identity and access controls. Infrastructure Security: Solid proficiency in cloud platform security (GCP preferred), including container security, multi-cloud/SaaS integrations, and strict network isolation ...

Experience working with either threat modeling, risk assessing or auditing cloud technologies (AWS, Google and Azure), Generative AI/agentic systems and tool integrations (A2A, MCP)Recognized cloud security certification (CCSP, CCSK, AWS certifications etc.)Solid understanding of internal control concepts with the ability to evaluate and determine ...

Strong understanding of distributed systems, service‐to‐service communication, API Gateways, Kubernetes, cloud‐native architectures Hands‐on experience working with emerging agentic protocols (MCP, A2A) and interoperability patterns Proven ability to work cross‐functionally with engineering, security, product, and platform organizations Excellent communication and storytelling skills, with the ability ...

developing AI agents using Python LLM & AI Standards: Familiarity with LLM integration patterns (e.g., RAG) and emerging standards like MCP for data connectivity and A2A for multi-agent orchestration Why IndyKite? Category Creation: The chance to define and build a brand-new market category from the ground up alongside ...

knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data. Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents. Connect the ecosystem. Implement robust, scalable ...

knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data. Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents. Connect the ecosystem. Implement robust, scalable ...

interaction and manipulation of complex dimensions, hierarchies, and business planning models. Develop architecture patterns and technical specifications for agentic systems and agent-to-agent (A2A) communication frameworks, allowing autonomous planning agents to collaborate, reason, and execute multi-step workflows. Design prompt engineering frameworks and best practices that optimise … natural ability to translate complex technical architectures and AI concepts into clear insights for diverse engineering and business stakeholders. DesirableKnowledge of Model Context Protocol (MCP) and agent communication standardsExperience with vector databases, RAG architectures, and semantic search systemsFamiliarity with cloud platforms (AWS, Azure, GCP) and their AI servicesExperience ...

Python APIs and services (e.g., FastAPI), incorporating async execution, background jobs and containerized deployments Integrate enterprise systems and tools using protocols such as MCP, A2A, OpenAPI, REST and gRPC, ensuring graceful degradation and retries Apply enterprise security and governance practices including RBAC, prompt safety checks, traceability and secrets management … accuracy to technical and non-technical audiences Nice to have Experience using Azure AI Foundry or Microsoft Agent Framework Knowledge of MCP and A2A protocols for agent and tool interoperability Hands-on work with vector databases like Pinecone, Weaviate, Qdrant or pgvector Familiarity with distributed systems, workflow engines (Temporal ...

reliability, security, maintainability, and costDeep experience with system integrations and modern interoperability protocols, including Model Context Protocol (MCP) and agent-to-agent (A2A) standards, with the ability to define integration patterns and shape how these are adopted at scaleHands-on breadth across major cloud platforms and marketplace … Databricks, establishing operational and reliability standards for the teamDefine and champion integration patterns and protocols, including Model Context Protocol (MCP) and A2A, ensuring seamless interoperability across platforms and influencing how these standards are adopted across the organisationTrack and assess AI partner technical roadmaps from hyperscalers and leading ...

Experience working with either threat modeling, risk assessing or auditing cloud technologies (AWS, Google and Azure), Generative AI/agentic systems and tool integrations (A2A, MCP) Recognized cloud security certification (CCSP, CCSK, AWS certifications etc.) Solid understanding of internal control concepts with the ability to evaluate and determine ...

Experience working with either threat modeling, risk assessing or auditing cloud technologies (AWS, Google and Azure), Generative AI/agentic systems and tool integrations (A2A, MCP)Recognized cloud security certification (CCSP, CCSK, AWS certifications etc.)Solid understanding of internal control concepts with the ability to evaluate and determine ...

Gravitee, impact isn't abstract, it's visible. In this role, you will: Define and own the product roadmap for native MCP or A2A support across Gravitee's platform. Work closely with your Engineering Manager and pod through discovery, design, and delivery. Collect and prioritize the needs of customers … building or adopting MCP servers and clients, or Agents and A2A Prototype new capabilities using AI-assisted tools to validate ideas before committing engineering investment. Present product direction directly to customers and prospects, often alongside field teams. Track adoption and usage metrics for MCP/Agent capabilities and turn ...

interaction and manipulation of complex dimensions, hierarchies, and business planning models. Develop architecture patterns and technical specifications for agentic systems and agent-to-agent (A2A) communication frameworks, allowing autonomous planning agents to collaborate, reason, and execute multi-step workflows. Design prompt engineering frameworks and best practices that optimise … natural ability to translate complex technical architectures and AI concepts into clear insights for diverse engineering and business stakeholders. Knowledge of Model Context Protocol (MCP) and agent communication standards Experience with vector databases, RAG architectures, and semantic search systems Familiarity with cloud platforms (AWS, Azure, GCP) and their ...

JSON. Competent understanding of Microsoft365, including M365 Copilot Teams and SharePoint‐related infrastructure. Knowledge of AzureAIFoundry and Microsoft365 SDK. Knowledge of Model Context Protocol, Agent‐to‐Agent and LLM selection (advantage). Software development experience, including proficiency in one or more of the following: Python, JavaScript, JSON, React ...

Computer Science or related field, or equivalent experience. Beneficial Experience Experience with AI-driven development (e.g. Claude Code, Codex) and agentic communication protocols (e.g. A2A, MCP) preferred. Large scale event processing a plus but not required. Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes ...

management, product information management and marketplace platforms B2B commerce, including complex pricing, catalogue and account structures Agentic commerce concepts and emerging standards (ACP, AP2, A2A) and practical use of AI in commerce Total cost of ownership and business case modelling The C4 model and diagrams as code What ...

connecting agentic systems to enterprise commerce stacks (OMS, PIM, DAM, CRM, payments, pricing, fulfilment) via API gateways, event buses, and emerging agentic protocols (MCP, A2A, ACP, UCP) Lead build vs. buy decisions across LLM platforms, orchestration frameworks, vector stores, and agentic workbenches; design multi-model routing strategies to avoid …/CD and cloud-native architecture Demonstrated leadership of complex, multi-region enterprise programs Nice to Have Experience with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content architecture ...

connecting agentic systems to enterprise commerce stacks (OMS, PIM, DAM, CRM, payments, pricing, fulfilment) via API gateways, event buses, and emerging agentic protocols (MCP, A2A, ACP, UCP) Lead build vs. buy decisions across LLM platforms, orchestration frameworks, vector stores, and agentic workbenches; design multi-model routing strategies to avoid …/CD and cloud-native architecture Demonstrated leadership of complex, multi-region enterprise programs Nice to Have Experience with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content architecture ...

including multi-agent orchestration, memory management, and tool integration using Amazon Bedrock AgentCore and Strands Agents Build, integrate, and maintain MCP (Model Context Protocol) servers that expose capabilities to AI agents across client platforms … Architect and implement RAG pipelines using Amazon Bedrock Knowledge Bases, managing vector stores, embeddings, and document ingestion from S3 and other sources Apply the A2A (Agent-to-Agent) protocol to enable interoperability between agents across systems and workflows Instrument AI systems with observability and tracing tooling — CloudWatch ...