1 to 25 of 37 A2A Protocol Jobs

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 ...

multi‐agent AI solutions, agent orchestration patterns, RAG architectures, and enterprise integrations Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness Confidence contributing to pre‐sales while also being able ...

Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi‐step generative AI applications, like LangGraph. Experience with Agent‐to‐Agent (A2A) communication or coordination patterns in AI systems. Hands‐on experience leveraging AI‐powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor ...

Demonstrated leadership working with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure‐as‐code tools such as Terraform. Experience in multi‐agent orchestration. Familiarity with MLOps practices, including CI/ ...

Demonstrated leadership working with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP). Experience with AWS and infrastructure‐as‐code tools such as Terraform. Experience in multi‐agent orchestration. Familiarity with MLOps practices, including ...

systems and multimodal AI technologies. Design, build and orchestrate intelligent agent workflows using the Gemini Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2Agent (A2A) protocol. Develop and implement Retrieval-Augmented Generation (RAG) architectures, vector search capabilities and long-term agent memory solutions. Deploy, monitor and improve AI agents ...

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 ...

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 ...

communication skills with the ability to influence technical and business stakeholders. Preferred Qualifications Experience with agent frameworks, orchestration platforms, and protocols such as MCP, A2A, LangGraph, Bedrock, Vertex AI, OpenAI, Anthropic, or similar technologies. Experience building developer platforms, orchestration engines, SDLC tooling, or engineering productivity solutions. Experience implementing enterprise ...

leveraging LLMs, agents and multimodal AI frameworks. Develop and orchestrate agentic workflows using the Gemini Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2Agent (A2A) protocol. Design and implement Retrieval Augmented Generation (RAG) architectures, Vector Search solutions and agent memory management. Deploy and manage AI agents using Google ...

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 ...

LLMs for predictive insights and adaptive remediation. Experience architecting agentic infrastructures, including observability pipelines and experimentation frameworks for AI agents. Familiarity with MCP and A2A orchestration patterns running on Kubernetes, enabling agents to communicate through secure service meshes. Working knowledge of Agent Gateways and Registries, bridging microservices ...

primary (ADK, Vertex AI) Multi‐Agent Systems: Hands‐on experience designing and implementing multi‐agent architectures (task decomposition, coordination, orchestration, and agent‐to‐agent (A2A) interaction patterns) Model Context Protocol (MCP) & Integrations: Experience integrating agents with enterprise tools and data sources using MCP or equivalent context‐sharing ...

industry,governmentor academia. Experience in regulated industries such as insurance, financial services, publicsectoror national-scale infrastructure contexts. Familiarity with agentic systems design, MCP/A2A protocols, or inference-time privacy controls. Familiarity innovating with agentic-driven workflows and toolsets for both research and prototyping tasks, such as Claude, Claude ...

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 ...

tune prompts, skill instructions, and tool/action definitions; connect agents to HR Case and Knowledge Management, catalog items, and external systems (e.g., Workday A2A, MCP), the Generative AI Controller, Flow Designer, and REST APIs. Configure and extend Virtual Agent conversations and Now Assist for HRSD experiences, including ...

grounding Architect reusable AI design patterns including human‐in‐the‐loop workflows and multi‐agent coordination models Apply agent integration and communication standards (MCP, A2A, OpenAPI, REST, gRPC) Lead technical delivery of AI projects, managing timelines, dependencies, and stakeholder expectations Ensure delivery adheres to AI governance, data privacy … model evaluation approaches Hands‐on experience with multi‐agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel) Familiarity with orchestration protocols such as MCP, A2A, and OpenAPI‐based integration Strong Python development skills and knowledge of CI/CD, DevOps, and cloud‐native architectures Practical experience with Azure (Azure OpenAI ...

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 ...

based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns and advise clients on emerging Agentic Commerce standards (ACP, AP2, A2A, and secure payment models). Client Engagement & Account Growth: Build trusted relationships with senior stakeholders, translate complex concepts, and facilitate technical discovery workshops. Proactively … building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging Agentic Commerce concepts and standards (ACP, AP2, A2A). Software Engineering & API Design: Strong development background (ideally TypeScript/JavaScript) coupled with robust API design, documentation, and versioning experience. DevOps & Quality Automation ...

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 ...

debugging, and maintaining code in a large corporate environment using modern programming and database querying languages Experience with containerization Knowledge of agent‐to‐agent (A2A) communication concepts Familiarity with Model Context Protocol (MCP) Experience with agentic orchestrators, personal AI assistants, or AI skills development. We recognize that ...

estimation, requirements, technical design, coding, testing, release, and operations. Engineer the scaffolding that makes agents dependable tool use via MCP, agent-to-agent handoffs (A2A), event-driven orchestration, and deep Jira and enterprise system integration. Build on Equinix's enterprise AI platform AI gateway, orchestration, audit, and access control … when to demand human review, and the communication skills to explain that reasoning. Preferred Qualifications Experience with agent frameworks and protocols such as MCP, A2A, Anthropic or OpenAI APIs, Bedrock, Vertex, orLangGraph. Experience building developer platforms, orchestration systems, or SDLC tooling, including Jira, GitHub, or ServiceNow integration. Knowledge-engineering ...

debugging, and maintaining code in a large corporate environment using modern programming and database querying languages Experience with containerization Knowledge of agent‐to‐agent (A2A) communication concepts Familiarity with Model Context Protocol (MCP) Experience with agentic orchestrators, personal AI assistants, or AI skills development #J-18808-Ljbffr ...

debugging, and maintaining code in a large corporate environment using modern programming and database querying languages Experience with containerization Knowledge of agent-to-agent (A2A) communication concepts Familiarity with Model Context Protocol (MCP) Experience with agentic orchestrators, personal AI assistants, or AI skills development J.P. Morgan ...

/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 ...