1 to 25 of 44 Permanent Model Context Protocol Jobs

Lead the full product lifecycle from ideation and proof of concept to launch and continuous optimisation. Partner with cross-functional teams to embed LLMs, MCP (Model Context Protocol), and autonomous AI agents into scalable enterprise products. Work closely with GTM and marketing teams to develop compelling positioning … LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable, context-aware intelligence. Expected Impact & Outcomes Launch of AI-powered ...

emerging threats while enabling secure and scalable AI delivery. This role covers the full AI security lifecycle, including threat modeling, prompt injection defenses, securing model supply chains, hardening RAG pipelines, and building scalable security tooling. You will act as the subject matter expert on AI security, responsible … Guard, LLM Guard, Lakera Guard; Experience with vector database security: Pinecone, Weaviate, ChromaDB, pgvector access control and data isolation; Knowledge of emerging AI standards: MCP (Model Context Protocol), Agent‐to‐Agent (A2A) Protocol, and AI gateway patterns; Security certifications: CISSP, CISM, OSCP, GIAC (GPEN/GWAPT ...

inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based on measurable results Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production … deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools. Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources. Evaluate and integrate large language models into production systems where they add clear value. Collaborate ...

cases in Corporate IT (productivity, collaboration, automation). Knowledge/experience with agentic AI and the model context protocol (MCP) for secure, standardised connections between AI agents and enterprise systems/tools. Additional nice-to-haves: Advanced techniques: model distillation, federated learning, autonomous agents or multi ...

platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine ...

platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine ...

stack, including framework selection, state management, and streaming UI integration Define contracts between agent runtimes and the supervision surface in partnership with backend and model engineers Contribute to the agentic UI strategy across Markets Operations, establishing standards for human-agent interaction Ensure interfaces support approvals, corrections, exceptions, streaming reasoning … financial services or regulated industries with exposure to operational workflows Contributions to open source in agentic UI or AI SDK domains Familiarity with MCP (Model Context Protocol) and tool gateways Formal training in HCI or a design-related field If you’re passionate about shaping the future ...

stack, including framework selection, state management, and streaming UI integration Define contracts between agent runtimes and the supervision surface in partnership with backend and model engineers Contribute to the agentic UI strategy across Markets Operations, establishing standards for human-agent interaction Ensure interfaces support approvals, corrections, exceptions, streaming reasoning … financial services or regulated industries with exposure to operational workflows Contributions to open source in agentic UI or AI SDK domains Familiarity with MCP (Model Context Protocol) and tool gateways Formal training in HCI or a design-related field If you’re passionate about shaping the future ...

ensure alignment between AI innovation and business priorities. Explore emerging technologies in LLM orchestration, multi-agent reasoning, and Model Context Protocol (MCP) to identify and adopt best practices for MSCI's AI ecosystem. Contribute to the evolution of MSCI's AI Index framework, helping define standards, governance ...

specialised search services, such as sequence and chemical searches, with modern AI agents using emerging standards like the Model Context Protocol (MCP). Your role You will be responsible for designing, developing, and deploying prototype services that enable natural language queries across EBI metadata and selected data … type specific searches. You will: Implement MCP-based services to expose search endpoints to AI agents. Develop a central NLQ entry point integrating metadata search and specialised search modalities. Support multilingual search and text summarisation. Work closely with the user community, organising workshops, surveys, and UX testing to capture evolving ...

deploy machine learning/deep learning models , particularly within pricing and forecasting contexts Work with distributed data sources, APIs and emerging frameworks (including MCP where relevant) Influence product and engineering teams to adopt AI-first thinking Help modernise and evolve legacy systems into scalable, future-ready architectures Drive standardisation … outputs Experience integrating AI into production environments via API-based architectures Data & Architecture Experience consuming and working with data via APIs Exposure to MCP (Model Context Protocol) or similar frameworks (desirable, not essential) Ability to work with complex, distributed and evolving data environments Machine Learning Strong grounding ...

live at scale in enterprise with room to grow. Malcolm is in production with Aviva for Home and Life insurance, operating through MCP (Model Context Protocol) and 1st party chat experiences. We have a small engineering team, a clear technical roadmap, and a founder who has deep … lead the engineering team (currently 1-3 engineers), hiring deliberately as the roadmap demands. Work directly with insurer partners on integrations - the commercial context matters here and you’ll be in those conversations. Be a genuine co-founder partner to the CEO: product strategy, commercial decisions, fundraising narrative. ...

London, Sydney, and Vancouver, Particular Audience works with global enterprise retailers and advocates for open standards like the Model Context Protocol (MCP). The company's DiscoveryOS powers decision-making at every stage of the shopper's journey, ensuring impactful retail experiences. Role Description This ...

analyse and document requirements Developing Multi Agent Solutions, Copilot Studio (PVA), Canvas apps, Cloud Flows, Desktop Flows, Dataverse artefacts, AI Builder, Business Process Flows, Model Driven Apps, Power Pages Engaging directly with teams within the client and Avanade environments to share your knowledge and upskill them Staying … working with Copilot Studio/Power Virtual Agents Expertise in Power Automate Flows (both desktop and cloud) and Computer Use Expertise in Canvas and Model-driven App development Experience in working with Dataverse Tables and data formats such as XML and JSON Competent understanding of Microsoft 365 including M365 ...

RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ...

financial markets. Day-to-day, this means building scalable pipelines from research through to production, implementing agentic AI solutions (fine-tuning, prompt engineering, MCP connectors, multi-agent frameworks), and developing evaluation and monitoring frameworks for models in live environments. You'll work closely with portfolio managers and researchers to identify ...

machines, and Azure Foundry. Working knowledge of C#, .NET, Docker, and Kubernetes . Ability to research, evaluate, and implement cutting-edge AI frameworks (e.g., MCP). Desirable: Experience with end-to-end deployment of GenAI orchestration and associated services. Experience creating, monitoring, and troubleshooting APIs. Knowledge of traceability, auditability ...

least one of Financial Services, Energy, or Healthcare - enough to be a credible peer, not just a technology generalist Nice to Have Experience with MCP server development, Claude Code enterprise deployment, or AI agent integration into development workflows Track record of defining engineering best practice or developer experience within ...

pipelines and semantic search using vector databases such as Pinecone and Chroma, including indexing, retrieval policies, and evaluation. Build and integrate agent tools (MCP) and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing, error handling, and retries. Design and implement robust evaluation frameworks … systematically assess and measure the performance of AI agents across key operational metrics. Practice advanced prompt and context engineering (e.g., Chain-of-Thought, ReAct, function calling/tool-use prompts), implement output validation and guardrails to reduce hallucinations. Deploy scalable AI services to cloud infrastructure, ensuring monitoring, and observability ...

pipelines and semantic search using vector databases such as Pinecone and Chroma, including indexing, retrieval policies, and evaluation. Build and integrate agent tools (MCP) and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing, error handling, and retries. Design and implement robust evaluation frameworks … systematically assess and measure the performance of AI agents across key operational metrics. Practice advanced prompt and context engineering (e.g., Chain-of-Thought, ReAct, function calling/tool-use prompts), implement output validation and guardrails to reduce hallucinations. Deploy scalable AI services to cloud infrastructure, ensuring monitoring, and observability ...

least one object oriented programming language (JavaScript/TypeScript, Python, Java, C#, etc) You have hands-on experience with GenAI, (e.g. Playwright with MCP). Experience with AI-assisted coding tools (e.g., GitHub Copilot, Claude) is required, knowledge of LangChain or LangGraph, and cloud environments is a plus. You love ...

Hands-on experience with platforms such as Azure ML Studio, Palantir Foundry, or Databricks Mosaic . Familiarity with NLP, LLM deployment, agent-based AI (MCP, A2A, N8N), and advanced RAG architectures . Roles and Responsibilities: Lead the end‐to‐end development, deployment, and delivery of AI and machine learning solutions … model training, evaluation, optimisation, and production deployment. Serve as a thought leader on emerging AI technologies, including LLMs, generative AI, agent-based systems (MCP, A2A, N8N), and advanced RAG frameworks , helping guide innovation and best practices. Communicate complex technical concepts to non‐technical stakeholders, providing clear strategic recommendations ...

facing engineering role - forward deployed engineering, technical consulting, or engineering advisory Experience with Claude Code enterprise deployment, AI agent integration into development workflows, or MCP server development External presence - writing, speaking, or community contribution in the software engineering or engineering leadership space Experience working alongside or within partner ecosystems such ...

That instinct is exactly what this team needs. The company This is an AI‐native integration layer for SaaS products and agents: unified APIs, MCP‐friendly tooling and A2A (agent‐to‐app and app‐to‐app) bridges so builders can wire their products into hundreds of third‐party tools without ...

About the context**The Principal Architect - Intelligent Automation drives the strategic technology roadmap and high-level design for Intelligent Automation (Low Code, Digital Automation, Conversational AI and Agentic AI) within the global corporate domains. In addition, they will play a key role in animating the global community of Intelligent … architecture patterns and reference architectures for Agentic AI solutions, leveraging Azure AI Foundry as the pro-code platform - including multi-agent orchestration, tool integration (MCP, A2A, OpenAPI), agent memory, and enterprise knowledge grounding (RAG)* Assess opportunities for Intelligent Automation based on technical feasibility and business value, to enable prioritisation ...