1 to 25 of 283 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 ImpactTechnical Leadership & System Architecture: Architect, design ...

translating ambiguous business problems into robust, production-grade solutions. You will play a hands-on role in building and scaling asynchronous task pipelines, implementing MCP (Model Context Protocol) servers and tools around complex APIs and internal systems, and integrating LLM-based orchestration frameworks. On the front … using Celery, Redis (as broker/result backend), Celery Beat (scheduled/periodic tasks), and Flower (task monitoring/observability). * Build and maintain MCP (Model Context Protocol) servers and tools, exposing complex internal APIs, databases, and systems as structured, consumable tools for AI agents and applications. ...

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 ...

Senior AI Platform Engineer - MCP | TypeScript | AWS | Agentic AI Salary: Up to £100,000 Location: London - Hybrid Type: Permanent We're working with an established, technology-led business in the sports betting industry that's investing heavily in AI, with ambitious plans to transform its platform through LLM integration, intelligent … looking for a Senior AI Platform Engineer to lead the architecture, design and implementation of a Model Context Protocol (MCP) gateway. This will enable LLMs and AI agents to securely interact with existing services, APIs and business logic, laying the foundations for a wider AI strategy focused ...

Senior AI Platform Engineer - MCP | TypeScript | AWS | Agentic AI Salary: Up to £100,000 Location: London - Hybrid Type: Permanent We're working with an established, technology-led business in the sports betting industry that's investing heavily in AI, with ambitious plans to transform its platform through LLM integration, intelligent … looking for a Senior AI Platform Engineer to lead the architecture, design and implementation of a Model Context Protocol (MCP) gateway. This will enable LLMs and AI agents to securely interact with existing services, APIs and business logic, laying the foundations for a wider AI strategy focused ...

solutions, including 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 … with both is 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 ...

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 ...

Platform Engineer - TypeScript | AWS | MCP | Agentic AI Salary: £80,000 Location: London We're working with an established, technology-led business in the sports betting industry that's making a significant investment in AI, with ambitious plans to transform how its platform operates, automate complex processes and deliver increasingly personalised … Engineer to join this newly established function, working alongside an experienced technical lead to design and build a Model Context Protocol (MCP) gateway that will enable AI agents and LLMs to securely interact with the company's existing services, APIs and business logic. This is a genuine ...

requirements and rapidly deliver impactful solutions. Build AI-enabled applications leveraging Large Language Models (LLMs), Agentic AI architectures, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and machine learning techniques. Develop tools supporting QIS strategy management, monitoring, and hedging activities. Contribute to the automation and industrialisation … Kernel, AutoGen, CrewAI, Microsoft Copilot Studio, OpenAI Agents SDK, or similar enterprise AI frameworks. Experience building or integrating Model Context Protocol (MCP) servers, tools, or workflows that connect AI applications with enterprise systems and business processes. Nice-to-have skills QIS & Front Office Experience Experience supporting Quantitative ...

deliver AI innovation opportunities across our Salesforce platform landscape — including Salesforce Agentforce, Data Cloud (Data 360), and Model Context Protocol (MCP)-based integrations, as well as adjacent AI tooling. The role focuses on hunting for value opportunities for sales teams; understanding the data and process foundations required … improve customer/employee experienceDocument current-state business processes and design future-state processes that incorporate Salesforce Agentforce agents, Data Cloud (Data 360), and MCP-based integrationsGather business requirements, high-level user stories, and acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human ...

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 ...

deliver AI innovation opportunities across our Salesforce platform landscape - including Salesforce Agentforce, Data Cloud (Data 360), and Model Context Protocol (MCP)-based integrations, as well as adjacent AI tooling. The role focuses on hunting for value opportunities for sales teams; understanding the data and process foundations required … customer/employee experience Document current-state business processes and design future-state processes that incorporate Salesforce Agentforce agents, Data Cloud (Data 360), and MCP-based integrations Gather business requirements, high-level user stories, and acceptance criteria for AI agent workflows - including agent actions, guardrails, escalation paths, and human ...

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 Python QA Automation 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 ...

engineering, distributed systems, Generative AI and full-stack development. You will be responsible for designing and delivering production-grade backend services, asynchronous processing pipelines, MCP (Model Context Protocol) servers and AI-driven workflows, alongside modern React-based front-end applications. You will also work closely with business … solutions. Key Responsibilities Design, develop and maintain backend services using Python. Build asynchronous task-processing pipelines using Celery, Redis, Celery Beat and Flower. Develop MCP servers and tools to expose internal APIs, databases and enterprise systems to AI agents. Implement agentic AI workflows using LangChain and/or LangGraph. Build ...

engineering, distributed systems, Generative AI and full-stack development. You will be responsible for designing and delivering production-grade backend services, asynchronous processing pipelines, MCP (Model Context Protocol) servers and AI-driven workflows, alongside modern React-based front-end applications. You will also work closely with business … solutions. Key Responsibilities Design, develop and maintain backend services using Python. Build asynchronous task-processing pipelines using Celery, Redis, Celery Beat and Flower. Develop MCP servers and tools to expose internal APIs, databases and enterprise systems to AI agents. Implement agentic AI workflows using LangChain and/or LangGraph. Build ...

onboard them through our partner programme. Find companies already integrating with Salesforce, including through Headless 360 and our Model Context Protocol (MCP) server, and convert those relationships into governed commercial partnerships. Shape the commercial model and go to marketHelp design new commercial models as the platform … closed. Working knowledge of how AI agents are built and connected: LLMs, agent orchestration, tool calling and the Model Context Protocol (MCP) or similar integration standards. You can hold a credible technical conversation with a startup CTO.Experience structuring partner economics for AI products: consumption or usage-based ...

Business (LOB) squads. The overall objective of this role is to build production-grade agent reasoning loops, custom Model Context Protocol (MCP) servers and robust error-handling mechanisms that adhere to enterprise safety and quality standards. Working closely with fellow engineers and business stakeholders, you'll help … ResponsibilitiesWrites robust, production-quality agent reasoning logic, memory management and sub-agent delegation workflows in Python. Develops custom Model Context Protocol (MCP) servers connecting AI agents to enterprise systems (ServiceNow, JIRA, DBaaS, Kafka, internal REST/gRPC services).Implements resilient error handling, automated retry mechanisms, fallback routines ...

supporting a public sector organisation with the secure rollout and governance of AI-enabled developer tooling, including GitHub Copilot, Copilot CLI, GitHub CLI and MCP (Model Context Protocol) servers. This role would suit a Platform Engineer, DevSecOps Engineer, AI Platform Engineer, Developer Experience Engineer or GitHub Enterprise … Administrator with experience balancing innovation, security and governance. Key Responsibilities Administer and configure GitHub Enterprise, GitHub Copilot and Copilot CLI. Evaluate, test and govern MCP servers, including GitHub, Jira and Confluence integrations. Implement AI security controls, access policies and approval processes. Conduct threat modelling and AI risk assessments in partnership ...

LLMs, agentic AI and generative AI services. Select and integrate appropriate AI frameworks and tools (e.g. LangChain, Semantic Kernel, Llama, vector-based search, MCP/Model Context Protocol) into the enterprise architecture. Design and implement RAG (Retrieval-Augmented Generation) architectures, including data ingestion, vector stores, and knowledge … Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise environments. Background in cloud platforms (e.g. ...

LLMs, agentic AI and generative AI services. Select and integrate appropriate AI frameworks and tools (e.g. LangChain, Semantic Kernel, Llama, vector-based search, MCP/Model Context Protocol) into the enterprise architecture. Design and implement RAG (Retrieval-Augmented Generation) architectures, including data ingestion, vector stores, and knowledge … Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise environments. Background in cloud platforms (e.g. ...

including: Azure AI Foundry Azure API Management (APIM) Azure Kubernetes Service (AKS) Azure Container Apps Azure AI Search Model Context Protocol (MCP) services and supporting infrastructure Establish and maintain platform standards, guardrails, policies and onboarding requirements. Review technical and solution designs, providing guidance to ensure alignment with … Azure AI Search GitHub Enterprise CI/CD tooling and automated delivery pipelines Infrastructure as Code Platform observability and monitoring Identity and Access Management Model Context Protocol services Agentic architecture and engineering patterns Typical Candidate Background: Platform Engineer Cloud Platform Engineer DevOps Engineer Site Reliability Engineer Platform ...

retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Help develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Work with colleagues to implement authentication, access control … with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model-serving platforms, vector databases and LLM gateways. Experience implementing AI evaluation, observability, tracing and performance monitoring. Experience with ...

governance, and delivery support. CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way. The team operates a Central MCP Delivery model: building critical MCP tools and services "for" product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution. LSEG AI Assist/ ...

Sr. Solutions Engineer for scale-up. The pattern is proven by AI-native companies — Anthropic, Palantir, OpenAI — and this role brings that model to GSK.This specific role sites in the Chemical Manufacturing & Control (CMC) area. This is the GSK function that turns a validated molecule into a reliably manufactured … team background is ideal. Strong hands-on experience with agent frameworks and multi-agent orchestration, tool use and Model Context Protocol (MCP), and agent evaluation and tracing. Experience automating scientific or technical workflows with agents: data pipelines from lab and process systems, code generation for analysis ...