26 to 50 of 283 Model Context Protocol Jobs

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 … 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 ...

every single requirement, please apply! You still may be a great fit for this role or other open roles. 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 Competencies3+ … engagement monitoring, issue resolution and feedback collectionPreferred: Familiarity with financial data, company information, credit research, corporate ownership or risk management solutionsPreferred: Experience working with Model Context Protocol services, agentic workflows, generative artificial intelligence platforms or embedded data solutionsPreferred: Familiarity with basic coding and analytics principles, including HTML ...

evidence discovery pipeline across ~1,500 SharePoint artefacts (emails, contracts, risk logs) across ~60 nested folders using Model Context Protocol (MCP) to standardise LLM tool integration. Core ResponsibilitiesMCP Server & Tooling Implementation: Design and deploy custom MCP Servers exposing SharePoint Online/Microsoft Graph endpoints and Azure … Search capabilities as standard MCP tools/resources for LLM hosts and agents.SharePoint Ingestion & Ingest Pipelines: Build secure, recursive Graph API routines to extract documents, emails, and attachments, feeding structured metadata and raw content into the indexing and MCP tool pipelines.Agentic GenAI & RAG Architecture: Implement agentic decision-making using MCP ...

evidence discovery pipeline across ~1,500 SharePoint artefacts (emails, contracts, risk logs) across ~60 nested folders using Model Context Protocol (MCP) to standardise LLM tool integration. Core ResponsibilitiesMCP Server & Tooling Implementation: Design and deploy custom MCP Servers exposing SharePoint Online/Microsoft Graph endpoints and Azure … Search capabilities as standard MCP tools/resources for LLM hosts and agents.SharePoint Ingestion & Ingest Pipelines: Build secure, recursive Graph API routines to extract documents, emails, and attachments, feeding structured metadata and raw content into the indexing and MCP tool pipelines.Agentic GenAI & RAG Architecture: Implement agentic decision-making using MCP ...

role is engineering AI agents and agentic workflows. You will design how agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather … agents and agentic workflows using trusted knowledge, tools, actions, approvals, human hand-offs, evaluation and safe failure paths. Design and implement integrations with approved MCP servers and lead development of MCP tools or services using secure, reusable patterns. Integrate Power Platform and AI solutions with Microsoft 365, SharePoint, Microsoft Graph ...

code disciplinesImplement Microsoft-specific technical governance – in Copilot Studio, Power Platform, Azure DevOps, and our Azure subscriptions used for hostingDefine and run the support model for the AI estate – monitoring and alerting, incident response, change and release management, documentation and knowledge transfer, so solutions remain reliable as usage growsEnable …/CD (ideally Azure DevOps or GitHub Actions), testing and infrastructure as code - backed by strong awareness of the related Azure platform servicesExperience in MCP (Model Context Protocol) development - building and consuming MCP servers to expose internal systems and data to agents securelyPractical knowledge of RAG, ideally ...

response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned and least-privilege … management, rate limiting and budget enforcement. Working knowledge of tool-calling architecture for agents, including the Model Context Protocol: what an MCP server is, how tools are scoped and authorized, and why tool access is brokered through a gateway rather than granted directly. Experience with containerization ...

including LLMs, retrieval-augmented generation (RAG), autonomous and multi-agent systems, and modern interoperability standards such as the Model Context Protocol (MCP)—coupled with excellent communication skills to engage with clients and internal teams effectively. Your roleIn the role of Senior Consultant within Topaz Unit, you will … Experience in designing and scaling GenAI chatbots. Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler Good understanding of Responsible AI principles Ability to transform business problems into analytical solutions, fostering cross functional collaboration between ...

partner with Sales to address technical questions Provide hands-on technical support to client implementation teams, troubleshooting integration issues and advising on API and MCP usage Shape the structure and standards for our technical documentation, covering implementation guides, API references, data models, and integration patterns, and work with the team … infrastructure, GitHub Actions for CI/CD. Clients integrate with us over our APIs and through the Model Context Protocol (MCP). Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers. Qualifications 10+ years in financial services technology, with strong domain ...

such as RAG, orchestration and multi-agent workflows, and tool/function calling. Establish best practices for LLMOps, MLOps and AIOps, including evaluation, observability, model routing, cost and latency optimisation, and secure deployment. Lead the development of reusable AI accelerators, patterns and reference architectures, and champion market-leading practice … orchestration patterns (e.g. Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI or equivalents) and emerging standards such as the Model Context Protocol (MCP).Expertise in RAG and retrieval patterns using vector stores and embedding models, and in evaluation and guardrail frameworks for LLM and agentic systems. Certified architect ...

platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise … libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions ...

Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. Core Skills and Qualifications:12+ years of experience in software engineering, preferably in platform or cloud-native service … trade-offs between latency, capability, cost, and model sizing. Awareness of emerging AI protocols and standards (e.g., Model Context Protocol [MCP], Agent2Agent [A2A]). Exposure to automated AI evaluation, output benchmarking, and testing tools for AI-driven capabilities. R&D at AVEVAOur global team of 2000+ ...

builder with a passion for helping customers build faster, smarter, and more reliably with AI? Are you excited about the growing GenAI and Foundation model landscape and platforms to serve them? Do you have the technical depth, advisory skills, and startup instincts necessary to help position … open-weight and frontier models, world models, and agentic frameworks used by Startups- Familiarity with Agentic AI architectures — multi-agent orchestration, tool-use patterns, MCP (Model Context Protocol), and autonomous agent frameworks- Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives ...

project management skills in Agile environmentsExperience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniquesApply now to find out more about this Backend Software Engineer/Developer (Python LLM MLOps RAG MCP ...

Engineer to lead the build of an enterprise AI evidence discovery platform using SharePoint, Azure AI services and Model Context Protocol (MCP ). The role involves designing AI-powered search and retrieval capabilities across documents, emails, contracts and risk artefacts, while mentoring a junior engineer. Responsibilities - Develop … MCP servers exposing SharePoint and Azure AI Search capabilities to AI agents. - Build SharePoint and Microsoft Graph ingestion pipelines for documents, emails and attachments. - Design and implement RAG and agentic AI workflows using Azure OpenAI. - Deliver hybrid search solutions combining semantic and vector retrieval. - Implement secure, permission-aware access controls ...

Software Engineering solutions to automate and enhance SDLC processes. Hands-on experience with Java-based AI frameworks such as Spring AI, LangChain4j, Semantic Kernel, MCP (Model Context Protocol), or similar technologies. Experience implementing RAG, prompt engineering, tool calling, workflow orchestration, and agent-based architectures. Experience applying ...

protocol requirements into clear technical specs before building. Leverage AI-assisted development workflows (e.g. Claude Code) and work with emerging paradigms like MCP (Model Context Protocol) and agent-based tooling. Collaborate and contribute to engineering cultureWork cross-functionally with protocol, product, and infrastructure teams. Mentor … Experience building blockchain indexers, data pipelines, dApps, or smart contracts (Solidity). Familiarity with AI-assisted development workflows: spec-driven development, code generation tools, MCP, or agent-based paradigms. Contributions to open-source projects. Experience with Rust. What We Offer: Competitive base salary and discretionary bonusHybrid/Flexible Working Arrangements ...

small data governance team, supporting the continued development and adoption of the data governance capability. Experience with Model Context Protocol (MCP) and AI integration is desirable, not essential; curiosity and willingness to learn will help you shape and lead this emerging capability with AI and architecture colleagues. … management, data quality, metadata management and access management. Work with business owners to embed practical governance and ensure integrations meet data protection requirements. Emerging MCP and AI integration capability: Help shape the MCP strategy and lead agreed delivery with AI and architecture colleagues, enabling AI platforms to connect securely ...

solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll DoWe … LLMs: building RAG solutions, agentic workflows, integrating LLMs (e.g., OpenAI, Gemini, Anthropic, etc.) into products, building and integrating Model Context Protocol (MCP) servers, and authoring Claude Skills to extend agent capabilities, etc. Experience in cloud-native development (AWS), with infrastructure and DevOps principles. Strong systems thinking, architectural ...

platforms such as Databricks or Microsoft Fabric. Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management. Why You'll Love This Role You will build and lead the AI engineering capability for two of the most ...

features or entire components across their complete lifecycle from conception to production supportMake commercially aware technical decisions by weighing engineering trade-offs in the context of business commitments, delivery timelines, and customer impact, not just technical purityLead technical discussions and influence architecture decisions within team systems and components, with … interactions through effective prompt engineering, efficient token usage, and optimisation techniques, combined with practical use of the Model Context Protocol (MCP) to integrate AI systems with tools and services for richer, automated workflowsExpertise with advanced monitoring and APM strategies using Datadog, including custom dashboards and alerting ...

cross-functional teams (product, design, QA) to deliver comprehensive solutions that meet business objectives· Influence technology choices based on deep technical understanding and business context· Lead team Agile ceremony facilitation to drive continuous process improvements, and establish team practices that enhance delivery predictability· Proactively identify and inspire resolution … interactions through effective prompt engineering, efficient token usage, and optimisation techniques, combined with practical use of the Model Context Protocol (MCP) to integrate AI systems with tools and services for richer, automated workflows· Expertise with advanced monitoring and APM strategies using DataDog, including custom dashboards and alerting ...

enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible ...

agentic systems, covering drift, agent behaviour and performance Familiarity with agent-to-agent orchestration protocols or the Model Context Protocol (MCP) Awareness of secure-by-design frameworks (ISO 27001, NIST, OWASP) Open-source AI/ML contributions Why Apply Real technical ownership: shape the architecture, not just ...

agentic systems, covering drift, agent behaviour and performance Familiarity with agent-to-agent orchestration protocols or the Model Context Protocol (MCP) Awareness of secure-by-design frameworks (ISO 27001, NIST, OWASP) Open-source AI/ML contributions Why Apply Real technical ownership: shape the architecture, not just ...