26 to 50 of 584 Permanent Model Context Protocol Jobs

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 ...

LLMs, retrieval pipelines, agentic workflows, and platforms such as Anthropic Claude. Experience designing and deploying AI agents, leveraging Model Context Protocol (MCP), and orchestrating enterprise-grade AI solutions will be highly valued. Acting as a bridge between business and technology, you’ll work across product, data science … deploying agentic AI solutions using platforms such as Anthropic Claude, including AI agents, tool orchestration, reasoning workflows, Model Context Protocol (MCP), and enterprise-scale automation use cases. Hands-on experience building AI-enabled systems, such as LLM pipelines, document extraction, structured output generation, AI-assisted analytics, prediction ...

this role. Working with ML flow. Designing developing and testing agent build in Google ADK Working with Model Context Protocol (MCP) and creating servers. Other technology we use includes Neo4j, Postgres, Kafka and libraries such as FAST API. Build and maintain CI/CD pipelines to support … others can follow them. Generative AI: Familiarity with GenAI concepts including system prompts, Agent Development Kit (ADK), and Model Context Protocol (MCP) for data and service sharing. Google ADK: Hands‐on experience using Google ADK. Neo4j or other graph databases Team Leadership: Experience managing or coordinating software ...

design, build, and deliver next-generation AI-enabled applications and agentic systems. This role combines hands-on engineering across frontend applications, Python backend services, MCP infrastructure, agent workflows, and secure enterprise integrations. As an AI Engineer, you will build user-facing applications and backend services that integrate with Model Context Protocol (MCP) servers, LLM-based applications, RAG-based retrieval systems, and agent orchestration platforms. You will work closely with AI developers, platform engineers, product teams, and other stakeholders to deliver scalable, secure, observable, and production-ready AI solutions. This engineering role is suited for candidates ...

tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Implement authentication, access control, secrets management, security … 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 ...

tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Implement authentication, access control, secrets management, security … 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 ...

systems across customer-facing and operational domains. Defining and owning Aviva’s canonical engineering patterns for applied AI, including orchestration architectures, context engineering, MCP integration, memory design, fine-tuning and multimodal systems. Building and maintaining a reusable library of agent tools, MCP servers, skills and shared engineering assets adopted … Context & Retrieval: Advanced context engineering expertise, including multi-hop retrieval, knowledge graphs (Neptune/Nebula), structured memory injection and dynamic prompt construction. MCP & Tooling: Advanced knowledge of Model Context Protocol (MCP), designing and implementing server architectures for enterprise tooling integration. Model Fine-Tuning: Experience ...

patterns, 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/Internal MCP ...

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/ ...

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/ ...

optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems. Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration. Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from … translate requirements into technical solutions. Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products. Contribute to the architecture and technical roadmap of our AI initiatives. Mentor junior engineers and share knowledge within ...

Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane - a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will … knowledge into a knowledge graph and vector store Build and evolve the serving layer - including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform ...

Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will … firm knowledge into a knowledge graph and vector storeBuild and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agentsExtract and promote reusable components into a shared core library, reducing duplication across the platform ...

translate capability changes into delivery capability and commercial offerings. Building and Embedded Delivery Build production AI systems hands-on: agents, tool use, retrieval pipelines, MCP integrations and enterprise workflow connectors. Embed with client teams to map how work actually runs across functions, then design and deliver against it. Lead … Intellectual Property Own and productise Invoka's AI delivery IP: the accelerator framework, reusable components, prompt libraries and evaluation suites. Take our in-house MCP servers from internal tools to supported, documented, sellable asset, and own its roadmap. Develop our temporal data and change analysis capability, which we deliver ...

translate capability changes into delivery capability and commercial offerings. Building and Embedded Delivery Build production AI systems hands-on: agents, tool use, retrieval pipelines, MCP integrations and enterprise workflow connectors. Embed with client teams to map how work actually runs across functions, then design and deliver against it. Lead … Intellectual Property Own and productise Invoka's AI delivery IP: the accelerator framework, reusable components, prompt libraries and evaluation suites. Take our in-house MCP servers from internal tools to supported, documented, sellable asset, and own its roadmap. Develop our temporal data and change analysis capability, which we deliver ...

collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. Job ResponsibilitiesDesign, develop, and troubleshoot software solutions using creative approaches … environment using modern programming and database querying languagesExperience with containerizationKnowledge of agent-to-agent (A2A) communication conceptsFamiliarity with Model Context Protocol (MCP)Experience with agentic orchestrators, personal AI assistants, or AI skills development#LLMSuiteEngineering_jobsJ.P. Morgan is a global leader in financial services, providing strategic advice and products ...

collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. Job Responsibilities Design, develop, and troubleshoot software solutions using creative … 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 is a global leader in financial services, providing strategic advice and products ...

collaborative culture through communities of practice and emerging‐technology events. You will explore and operationalize emerging patterns such as agent‐to‐agent communication, model context protocols, and agentic orchestration, turning early‐stage concepts into scalable, production‐ready capabilities. Job Responsibilities Design, develop, and troubleshoot software solutions using creative … 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 ...

Lead for FactSet’s Banking and Insurance offerings across Europe, the Middle East, and Asia‐Pacific and global leadership responsibilities for FIG AI and MCP initiatives. This senior role has two complementary mandates. First, you will lead international client engagement, market development, and product opportunity identification for FactSet’s Banking … Insurance offerings. Second, you will lead Deep Sector FIG’s contribution to FactSet’s broader AI and MCP initiatives globally. Partner with FactSet’s AI, Applications, Content, and Engineering teams to ensure Banking and Insurance content is structured, contextualized, discoverable, and reliable for AI‐enabled and agentic workflows. Engage directly ...

stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks … large corporate environment using modern programming and database querying languages, including containerizationKnowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators#LLMSuiteEngineering_jobsJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small ...

stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks … corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators #LLMSuiteEngineering_jobs #J-18808-Ljbffr ...

graph, and hybrid approaches. Design multi-agent systems with modern orchestration and reasoning architectures, including human-in-the-loop and autonomous frameworks. Define memory, context, planning, tool-use, and reasoning strategies for agentic systems. Stay technical. Contribute to architecture, critical-path code, design reviews, and the hardest technical problems. … Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi-agent architectures, planning and reasoning, MCP (Model Context Protocol). Model customization: fine-tuning, distillation, and model evaluation at scale. What success looks like in this ...

high-stakes domains: 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 … next in how AI 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 ...