1 to 25 of 532 Model Context Protocol Jobs

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 a pivotal … 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, data sources ...

frontend and backend services—from designing highly performant, intuitive modern user interfaces to building robust API services, Model Context Protocol (MCP) services, and autonomous AI agents. In this role, you will lead the architecture, design, and deployment of scalable Generative AI solutions, ensuring seamless integration into … both frontend and backend development, combined with hands‐on experience building production‐ready GenAI features. You will bridge the gap between backend APIs, custom MCP services, agentic workflows, and responsive modern user interfaces to deliver intelligent, automated planning experiences for our global customers. Your Impact Technical Leadership & System Architecture: Architect ...

DevX) platform using Terraform on Microsoft Azure. This role focuses on automating infrastructure provisioning for AI workloads, integrating Model Context Protocol (MCP) services, and constructing robust pipelines for AI Agent deployment and evaluation. Key Responsibilities & Capabilities IaC & Platform Automation - Author, modularize, and maintain enterprise Terraform scripts …/CD - Construct automated CI/CD pipelines (Azure DevOps/GitHub Actions) designed for agentic workflows, prompt evaluation, automated testing, and release gating. MCP Integration - Design, containerize, and deploy Model Context Protocol (MCP) servers and gateways to connect AI agents securely with enterprise databases and APIs. ...

Automation: Strong experience building YAML pipelines in Azure DevOps or GitHub Actions, including secrets management (Azure Key Vault) and automated environment provisioning AI Tooling & MCP: Hands-on experience or working knowledge of Model Context Protocol (MCP) architecture, agent orchestration frameworks (e.g., Semantic Kernel, AutoGen, LangChain … DevX) platform using Terraform on Microsoft Azure This role focuses on automating infrastructure provisioning for AI workloads, integrating Model Context Protocol (MCP) services, and constructing robust pipelines for AI Agent deployment and evaluation IaC & Platform Automation - Author, modularize, and maintain enterprise Terraform scripts to provision Azure ...

that make Menlo's AI-driven features possible. The role blends deep systems and networking engineering with hands-on work on AI agents and MCP (Model Context Protocol) servers, alongside the cloud infrastructure (AWS, GCP, Kubernetes, Terraform, Linux) that supports them. You'll work alongside engineers across … against MARS roadmap milestones. Performance and stability of shipped Chromium-based components (e.g., crash rate, latency). Reduction in manual toil via agent/MCP-based tooling adopted internally. Code review turnaround time and quality for C++ contributions. Successful integration of AI agents or MCP servers into internal workflows ...

Cloud TokenHub—a unified AI platform providing access to leading Large Language Models (LLMs), AI Agents, and the Model Context Protocol (MCP) ecosystem—you will work closely with enterprise customers, Product, Engineering, Research, and Commercial teams to bridge business challenges with innovative AI solutions. Beyond solution delivery … business challenges, identify AI transformation opportunities, and design end-to-end AI and LLM solutions leveraging Tencent Cloud TokenHub, leading foundation models, AI Agents, MCP ecosystem, and enterprise AI capabilities. Lead technical discovery workshops, architecture design sessions, Proof-of-Concepts (POCs), technical validation, and production deployment planning to accelerate enterprise ...

context pipelines, leveraging chunking, hybrid search, re‐ranking, knowledge graphs and dynamic prompt construction. Building and consuming Model Context Protocol (MCP) servers to integrate enterprise tooling and shared capabilities. Maintaining production system reliability and supporting incident response for deployed AI agents. Providing technical guidance to junior … construction. Orchestration Frameworks: Hands‐on experience with agent orchestration frameworks (AWS Strands, OpenAI Agents SDK, Google ADK, DSPy, or raw API agent loops). MCP Integration: Practical experience with the Model Context Protocol (MCP), designing or consuming MCP servers. Evaluation & Memory: Experience implementing production evaluation frameworks ...

Generative and Agentic AI, including LLMs, retrieval-augmented generation (RAG), machine learning, and interoperability standards such as the Model Context Protocol (MCP). The role involves shaping the Generative AI strategy, selecting suitable models and technologies, and collaborating with cross‐functional teams to deliver customer‐centric, enterprise … ability to architect reliable agentic workflows with memory, state management and safe multi‐step task execution at scale. Model Context Protocol (MCP) & Interoperability – architectural knowledge of MCP for secure connectivity between LLMs/agents and enterprise tools, data sources, and systems; ability to build and govern MCP ...

large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities Mastery of AI tools, in particular Claude Desktop and Claude Code, with day-to-day use to work faster … agents, defining how each capability is exposed and packaged for agent-based consumption Recommend the best distribution channel for each business service, evaluating MCP, MCP App, and other options based on customer fit, reach, and technical trade-offs Build prototypes to test in front of internal and external clients, validating ...

large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities Mastery of AI tools, in particular Claude Desktop and Claude Code, with day-to-day use to work faster … agents, defining how each capability is exposed and packaged for agent-based consumption Recommend the best distribution channel for each business service, evaluating MCP, MCP App, and other options based on customer fit, reach, and technical trade-offs Build prototypes to test in front of internal and external clients, validating ...

systems on Amazon Bedrock, 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 … environments, not limited to basic API calls Agentic AI and multi-agent systems — direct experience designing and deploying agent pipelines with real orchestration complexity MCP (Model Context Protocol) — built or integrated MCP servers in a production or near-production context Strands Agents — familiarity with the framework ...

Generative AI and Agentic AI using Google ADK . Design, develop and test AI Agents and work with Model Context Protocol (MCP) and MCP servers. Write high-quality code in Python and/or Java , working across modern AI and platform technologies. Provide technical leadership, mentoring … highly desirable. Experience with Generative AI and AI Agents , ideally including Google ADK . Practical experience with Model Context Protocol (MCP) and AI/data/service integration is highly desirable. Strong understanding of REST APIs, networking, databases and CLI tooling , with Postgres/Oracle experience preferred. ...

offs across performance, scalability, 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 … evolve the agentic workflows, skills, and tool-use integrations that allow AI systems to interact with Moody's platforms and third-party services via MCP and related protocols, and define the patterns other engineers build againstImplement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks ...

processing, query translation, and validation workflows in low-latency environments. 5. Design and implement backend services based on Model Context Protocol (MCP) to expose structured database tools and enable deterministic query execution across data systems. 6. Develop and implement machine learning models using Python and PySpark … language query processing and response generation. d. Developing and optimizing data pipelines using Python and SQL. e. Developing Model Context Protocol (MCP) backends to expose structured database tools for deterministic execution. f. Developing and implementing machine learning models using Python, PySpark on Databricks. g. Applying Bayesian Hyperparameter ...

responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies … ability to independently drive a product area Deep understanding of generative artificial intelligence, large language models, agentic artificial intelligence, and application programming interface or protocol-based products; direct exposure to Model Context Protocol or comparable agent-tooling protocols preferred Strong grasp of agile methodologies with experience ...

demonstrate the power of Zendesk headless technology and help customers embed Zendesk deep into their workflows inside and outside of the core platform via MCP and A2A technology. AI & Platform Architecture Autonomous Service Deployment: Master and deploy the Zendesk Agent Builder and Action Builder to architect multi-step, agentic workflows … target. Ecosystem Integration & Connectivity: Architect modern integrations connecting the Zendesk platform to external AI platforms and enterprise applications. Design these connections utilizing the Zendesk MCP (Model Context Protocol) Server, comprehensive APIs, and advanced Integration Platforms as a Service (iPaaS), while applying scalable enterprise integration patterns. Knowledge & Memory ...

agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions using Python and related technologies. Build and maintain Retrieval-Augmented Generation (RAG) solutions … multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation ...

agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions using Python and related technologies. Build and maintain Retrieval-Augmented Generation (RAG) solutions … multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation ...

values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces … related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings ...

values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces … related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings ...

project for one of our clients. This role focuses on exposing internal enterprise tooling to AI agents via Model Context Protocol (MCP), ensuring robust quality engineering and compliance across innovative intelligent automation solutions. As a Quality Engineer, you will be responsible for developing automated testing frameworks, evaluation … pipelines, and quality controls for MCP Components within our AI platform. You will work closely with engineering and product teams in a Classic Agile environment to guarantee the reliability, accuracy, and performance of agent-driven workflows operating in enterprise-scale systems. This position offers a chance to define standards ...

This capability is responsible for advancing Insulet’s AI enablement foundation through MuleSoft Anypoint Platform, MuleSoft AI Gateway, Model Context Protocol (MCP), MuleSoft Agent Fabric, API-led connectivity, event-driven integration, and secure agent-to-system orchestration. The role will help transform existing enterprise APIs and integrations … Security, Enterprise Architecture, SRE, and MuleSoft CoE teams to establish reusable agent-ready integration patterns. Enable secure access to enterprise systems and APIs through MCP servers, AI Gateway policies, governed API products, and reusable integration services. Support global delivery and follow-the-sun operational readiness for business-critical AI-enabled ...

powered Production Intelligence platform. You will combine Site Reliability Engineering practices with modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM tooling) to transform how engineering and leadership teams monitor, diagnose, and auto-remediate global SaaS infrastructure. What you'll do Technical Leadership & Architecture: Define … architecture for AI-assisted observability, automated incident response, and self-healing cloud infrastructure. Agentic Workflows & Tooling: Design and build production-grade AI agents, MCP tool integrations, and deterministic evaluation pipelines for automated operational decision support. Telemetry & Insights: Architect ingestion and correlation pipelines across distributed logs, metrics, OpenTelemetry traces, change events ...

incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries … . Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP). Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week ...

incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries … . Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP). Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week ...