1 to 25 of 85 A2A Protocol Jobs in London

engineering workflows such as testing, code reviews, documentation, operational support, and data quality monitoring. Familiarity with AI interoperability and orchestration protocols such as MCP, A2A, or similar frameworks. Experience influencing technical strategy across multiple teams and driving organization‐wide engineering improvements. Why Choose Fitch Work‐Life Balance First ...

engineering workflows such as testing, code reviews, documentation, operational support, and data quality monitoring. Familiarity with AI interoperability and orchestration protocols such as MCP, A2A, or similar frameworks. Experience influencing technical strategy across multiple teams and driving organization-wide engineering improvements. Why Choose Fitch: Work-Life Balance First ...

systems — including embedding pipelines, vector databases, and semantic search applied to structured commerce data Familiarity with emerging agentic commerce protocols — such as MCP, A2A, or ACP — and how they are being adopted to connect AI agents with enterprise commerce systems and product data Working knowledge of cloud platforms ...

systems — including embedding pipelines, vector databases, and semantic search applied to structured commerce data Familiarity with emerging agentic commerce protocols — such as MCP, A2A, or ACP — and how they are being adopted to connect AI agents with enterprise commerce systems and product data Working knowledge of cloud platforms ...

record and engagement. Design integration patterns that let AI capabilities interoperate safely with enterprise data, identity,workflowand process automation platforms– including MCP and A2A and how these capabilities enable an enterprise Agent mesh. Understand the data,governanceand change implications of embedding AI into mission-critical enterprise processes. Orchestration & control ...

Experience with Microsoft Foundry, including Foundry Models and Foundry Agents Service. An understanding of agent integration and extensibility standards such as Model Context Protocol and Agent-to-Agent. Experience owning complex technical problems through design, implementation, deployment, operational support, incident resolution and continuous improvement. The ability to work ...

agent reasoning, tool‐calling logic, and conditional execution loops. Agent Communication Protocols: Implement modern agent‐to‐agent communication standards and the Model Context Protocol (MCP) to govern context sharing, task hand‐offs, and tool execution across specialized AI agents. Enterprise AI Grounding Systems: Architect, build, and maintain real ...

agentic AI systems, including model performance, agent behaviour and drift. Agent orchestration and inter-agent communication protocols such as A2A. Model Context Protocol (MCP). Secure-by-design development principles, including ISO 27001, NIST or OWASP. Experience within defence, national security or other highly regulated environments. Contributions ...

agent reasoning, tool-calling logic, and conditional execution loops. Agent Communication Protocols: Implement modern agent-to-agent communication standards and the Model Context Protocol (MCP) to govern context sharing, task hand-offs, and tool execution across specialized AI agents. Enterprise AI Grounding Systems: Architect, build, and maintain real ...

Cilium for observability. Expertise in policy‐as‐code using OPA or Kyverno within secure supply chain or CSPM frameworks. Familiarity with MCP and A2A orchestration patterns in Kubernetes service mesh environments. Understanding of Agent Gateways and Registries connecting microservices and AI agents. Background in secure containers, sandboxing, or confidential ...

applications. Strong API design experience, including REST and/or GraphQL, authentication, authorisation, versioning and streaming. Hands-on experience with MCP (Model Context Protocol) or comparable tool/plugin integration technologies, alongside an interest in AI agents and agent-to-agent connectivity. Solid experience with AWS, ideally including ...

depth knowledge of financial services industry IT systems Preferred Qualifications, Capabilities, and Skills: Deep experience with agent protocols and frameworks such as MCP, A2A, AG-UI, Google ADK, or LangGraph Experience with agent payment and mandate patterns, or regulated workflows requiring auditable LLM output Experience with OpenFGA ...

GenAI application development: Usage of LLM models for application, Agentic implementation, usage of tools to integrate data into LLM context, MCP tools and infrastructure, A2A design and development, data solutions for RAG and vector storage, prompt and context authoring, and more.• Databases: Proficiency in RDBMS and NoSQL databases, preferably ...

GenAI application development: Usage of LLM models for application, Agentic implementation, usage of tools to integrate data into LLM context, MCP tools and infrastructure, A2A design and development, data solutions for RAG and vector storage, prompt and context authoring, and more. Databases: Proficiency in RDBMS and NoSQL databases, preferably ...

controls such as identity, access management, auditability, data classification or approval workflows in software delivery. Knowledge of agent interoperability and integration standards such as A2A or MCP, particularly where agents need to interact safely with enterprise tools and systems. Active contributor to engineering communities, continuous learning, and knowledge sharing. ...

with hands-on experience applying security at multiple layers Preferred 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 Iceberg Experience serving models on Kubernetes, including GPU workloads and fine-tuned ...

application Ability to influence across organizational boundaries and communicate with executive audiences Preferred qualifications, capabilities, and skills Experience with agent frameworks and protocols (MCP, A2A, Google ADK, LangGraph) and agent evaluation practices Experience with Databricks, MLflow, and model serving on Kubernetes in AWS Experience delivering AI systems through model ...

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 ...