76 to 100 of 106 A2A Protocol Jobs in the UK

/WFO, CRM technologies.- Familiarity with interoperability protocols such as MCP (Model Context Protocol) for standardized tool integration and/or A2A (Agent-to-Agent) for multi-agent communication- Experience with Amazon Connect or other enterprise contact center platforms (Genesys, Avaya, Cisco, NICE, Five9, etc.)Amazon ...

technical troubleshooting for agent components, including orchestration logic, agent tools, and task queues for autonomous workflows Build and maintain MCP (Model Context Protocol) servers that provide agents secure access to CRM, supplier directory, and payments data sources Develop secure, high-quality production code in Python, and review … preferred), including containers and Kubernetes Preferred Qualifications, Capabilities, and Skills: Experience with agent frameworks (e.g., Google ADK, LangGraph) and agent protocols such as MCP, A2A, or AG-UI Experience with Databricks, MLflow, and Delta Lake or Apache Iceberg Exposure to model serving on Kubernetes and to model monitoring (drift ...

patterns, data graph design, and activation strategies within D360.Map and integrate external agents from hyperscalers (e.g., Copilot, Gemini) into Agentforce via open standards (MCP, A2A); advise customers on how these systems collaborate within their enterprise architecture.Navigate ambiguous, high-stakes technical conversations with authority — knowing when to prescribe, when … agent lifecycle management, and hands-on prototype development.Hands-on proficiency in programming (e.g., Python, JavaScript, SQL) and data frameworks.Understanding of agent interoperability standards (MCP, A2A) and the broader external agent ecosystem.Experience operating in complex, matrixed enterprise environments across multiple EMEA markets.Exceptional communicator and storyteller — able to translate architectural complexity ...

multiple trading teamsBuild reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflowsCreate and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditabilityJob RequirementsMandatory Foundations5+ years production experience with both Python and Java in high-performance environmentsStrong software engineering fundamentals … methodologies and quality frameworksRAG pipeline architecture and optimization techniquesLLMOps practices including model lifecycle and prompt managementExperience with AI agent frameworks in production settings like A2A and MCPPreferred QualificationsFinancial/Trading DomainExperience in trading systems, quantitative finance, or financial technologyUnderstanding of market data, data subscription using Rest API/ ...

configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. * A2A (Agent-to-Agent) Integration: Architect Agent-to-Agent communication patterns that allow Amazon Connect AI agents to collaborate with specialized agents across the enterprise (e.g. … serve as tools for AI agents * Configuring MCP servers to expose customer APIs, databases, and tools in a standardized format for agent consumption * Designing A2A workflows where Amazon Connect agents hand off to or collaborate with specialized agents across the customer's enterprise * Configuring knowledge bases and data connectors ...

want to talk to you!* 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 … deep fluency with D360 and core Salesforce platform services.* Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A).* Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks.* Cross-Platform Background - Background in cross-platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows ...

want to talk to you! 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 … deep fluency with D360 and core Salesforce platform services. Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A).Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks. Cross-Platform Background - Background in cross-platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows).Multimodal ...

J.P. Morgan Personal Investing offers award-winning investments, products and digital wealth management services to over 275,000 investors in the UK. We built the business with innovation as a core part of our ethos ...

J.P. Morgan Personal Investing offers award-winning investments, products and digital wealth management services to over 275,000 investors in the UK. We built the business with innovation as a core part of our ethos ...

forums. Monitor platform performance, risks, costs and scalability considerations. Coach and develop product capability within the platform teams. Strong experience in payments ecosystems (cards, A2A, digital wallets, PSPs, acquiring, settlement) Track record of delivering platform products in complex, multi-brand or multi-market environments Experience balancing commercial outcomes with ...

Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks … just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails … just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

competitive finding. What You'll Do Own inbound product direction for your area. Research emerging agentic AI capabilities, attacker techniques, and adjacent standards (MCP, A2A, OWASP agentic-security guidance, agent identity frameworks) to determine what MARS for Agents should build next across the agent registry, Claude integration, Microsoft Copilot … agents operate, the difference between autonomous and human-in-the-loop (hybrid) agents, tool and function calling, and — specifically — the MCP (Model Context Protocol) ecosystem (servers, clients, tool calls) at a depth sufficient to write requirements for an MCP Server and an MCP Proxy, not just discuss them ...

summarization, and decay policies Manage organizational context by assembling entitlement-, lineage-, and tenant-aware context for secure agent reasoning Compose multi-agent workflows using A2A and integrate tools and data through MCP servers Build and run task-level and end-to-end agent evaluations, regression suites, LLM-as-judge … NoSQL stores Excellent communication skills and ability to partner effectively with senior technical and business stakeholders Будет плюсом: Graph RAG, agent frameworks or runtimes, A2A, MCP, agent memory design, organizational context management, knowledge graphs and graph databases for retrieval, LLM fine-tuning, small language model inference, full-stack development ...

guardrails, autonomy levels, kill switches, and human-in-the-loop approval Experience with agent runtimes - sandboxing and isolation, tool invocation (e.g. Model Context Protocol), multi-agent orchestration, and reasoning-loop control A track record of building or operating an evaluation and analytics harness for agent behaviour: trace capture … gets embedded in complex, regulated systems Bonus Points For Experience building or defining agent-to-agent or tool-integration protocols (Model Context Protocol and similar) at platform scale Knowledge of evaluation frameworks and fine‐tuning techniques. Familiarity with graduated autonomy models and agent-as-principal identity patterns Experience ...

Requirements The Global Commercial Solution Architect will be a key element of our global transformational core team to architect, design and build platform solutions that will support our Commercial Agility Transformation (CAT 2.0) ambition. You ...

Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Experience with tools for automated testing and evaluation of AI outputs Experience working in Agile teams and collaborating across global R&D locations ...

Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Experience with tools for automated testing and evaluation of AI outputs Experience working in Agile teams and collaborating across global R&D locations ...

Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks … just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks … just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails … just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

value demos (target: under two weeks) with AEs/SEs to accelerate buying decisions Fluent in headless architecture and AI-driven agents (MCP, A2A) - always applied through a data-first lens Long-term trusted advisor to strategic accounts, beyond any single deal 3. Reference Architecture & Technical GTM Build reference … Cloud DWH/DL (GCP, Snowflake, Databricks, AWS, Azure), ingestion pipelines, data modelling, governance AI & Agentic: GenAI, RAG, vector stores, agent lifecycle, MCP/A2A interoperability Salesforce Platform: Data 360, Agentforce, Agent Builder - deep architectural fluency Integration/BI: MuleSoft, hyperscaler SDKs, Tableau/PowerBI/Looker familiarity ...

proof-of-value demos (target: under two weeks) with AEs/SEs to accelerate buying decisionsFluent in headless architecture and AI-driven agents (MCP, A2A) — always applied through a data-first lensLong-term trusted advisor to strategic accounts, beyond any single deal3. Reference Architecture & Technical GTMBuild reference architectures … Platforms: Cloud DWH/DL (GCP, Snowflake, Databricks, AWS, Azure), ingestion pipelines, data modelling, governanceAI & Agentic: GenAI, RAG, vector stores, agent lifecycle, MCP/A2A interoperabilitySalesforce Platform: Data 360, Agentforce, Agent Builder — deep architectural fluencyIntegration/BI: MuleSoft, hyperscaler SDKs, Tableau/PowerBI/Looker familiarityKey QualitiesFuturist — connects today ...

JPMorganChase is seeking a Software Engineer, Senior Associate, in the LLM Suite Engineering team. You will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform, writing secure, production ...

Building the Future of Open FinancePayward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial ...