76 to 100 of 105 Permanent Model Context Protocol Jobs

hands-on design and build of AI solutions. Technical depth in how agentic AI systems are built and where they break, including retrieval and context, tool use, orchestration, evaluation and reliability, with … credibility to design and build alongside engineering teams. Able to code in Python and SQL, with working knowledge of LLM APIs, embeddings, agent frameworks, MCP, data pipelines and cloud platforms (Azure, AWS). Deep understanding of clinical operations and wider clinical development, gained in industry, consulting or other relevant settings. ...

risk, and reuse before recommending experiments or enhancements to existing and new ES services. Architect AI-enabled capabilities within ES cloud, identity, API/MCP, integration, connectivity, and observability services; apply secure, reusable enterprise patterns. Lead hands-on evaluations and prototypes; guide solution development and integration through production readiness, with … retrieval when appropriate, tool/agent integration, quality evaluation, model-selection tradeoffs, and non-AI alternatives. Enterprise service integration: Cloud architecture, REST APIs, MCP, identity and authorization, operations tooling, and reusable platform and service patterns. Security and service reliability: Data protection, threat modeling, auditability, observability, resiliency, human oversight ...

quality, and maintainability considerations. Essential Skills & Experience Active SC Clearance (essential). Strong hands-on experience building and deploying agentic AI solutions. Expertise in model selection, prompt engineering, agent orchestration, and tool integration. Experience applying AI across the Software Development Lifecycle … including code generation, testing, documentation, code review, and modernisation activities. Practical exposure to AI engineering tools such as GitHub Copilot, Claude Code, Codex, Kiro, MCP, or similar technologies. Proven track record defining and implementing engineering standards adopted across multiple teams or programmes. Strong stakeholder engagement skills with the ability ...

tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

experience with C# ideally Python experience Entra experience Azure Cloud experience - including Azure functions such as Service Bus, Azure DevOps AI Foundry API MCP Frontier AI tools and Models Large Language Models SQL DevOps understanding/experience Retrieval Augmented Generation (RAG) Desirable experience: Experience with other cloud platforms Azure certifications … Solutions Architect, AI Foundry, Azure, AZ-305, AZ-104, AI-103, TOGAF, Zachman, Python, C#, Agile, Azure AI, Agentic, OpenAI, LLM, Integration, API, MCP, Retrieval Augmented Generation, RAG, SQL, PostgreSQL, DevOps, Azure Functions, Service Bus, Cosmos, Solutions Architect, AI Architect, AI Solutions Architect, AI Foundry, Azure ...

tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other languages like C++, Scala, Rust etc are bonuses). Practical experience implementing and deploying using various techniques including ...

Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

oversee AI/MLOps lifecycle capabilities, including monitoring, tracing, evaluation, operational readiness and controlled transition into production Define and guide API-first and MCP-based integration patterns, including secure access to data and services through the project's API/MCP gateway Jointly with Risk Management/Compliance, evolve … architecture patterns, AI/MLOps lifecycle requirements, monitoring and evaluation, and the transition of AI solutions into controlled operations You have experience with MCP/API-first development practices and designing secure integrations between AI services, data products and enterprise applications You understand AI governance, risk, guardrails, access control ...

PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph or MCP libraries \n Strong programming skills, especially in Python (other languages like C++, Scala, Rust etc are bonuses). Practical experience implementing and deploying using various techniques ...

strong appetite for agentic dev tools such as Claude Code, Cursor or Gemini CLI A generalist spirit, thriving on variety, ambiguity and context-switching across sectors and domains Willingness to travel regularly to client sites across the UK Desirable/Nice to Have: Pre-sales, sales engineering … solutions-consulting experience in regulated industries (finance, defence, public sector or healthcare) Familiarity with open-source LLMs, RAG, agentic patterns or protocols such as MCP/A2A UK Security Clearance (SC) or eligibility and willingness to obtain it Why Apply? Competitive salary and benefits package, including company pension EMI share ...

Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

Support the adoption of modern data-engineering methods and best-in-class tooling Integrate data toolchains with internal systems using API-driven approaches, including MCP Establish secure, standardised best practices across data warehousing, integration and AI tooling Define inter-system data flows, architectural roadmaps and governance standards Ensure solutions comply … Lambda, plus familiarity with Azure Experience with real-time ingestion, streaming and processing technologies, API design, graph databases, and AI-enabled solutions including MCP Familiarity with Tableau, GitHub, Jira, CI/CD and Agile delivery Strong knowledge of architectural governance, requirements gathering and end-to-end data-flow design ...

platform the whole company runs on. Firn already gives people and agents the same governed tools over our Snowflake warehouse through an MCP gateway, routes every model call through one LLM gateway with tracing, runs agentic workflows on a factory framework with a ledger that records every … review steps and evaluations as the standard shape, so every agent on the platform can be trusted and inspected the same way.Platform architecture. The MCP gateway, LLM gateway, tracing, factory framework and ledger, and how they grow to hold more of the company's work. You decide what is built ...

About SnowplowSnowplow is the real-time customer context layer that collects, validates, enriches, and delivers behavioral data for advanced analytics, ML, and AI agent decisioning. Snowplow's event tracking is leveraged across 2M+ websites and applications globally, processing over one trillion events per month.More than 250 companies, including Experian … enrichment. The pipelines that bring third-party signals and first-party behavior into Snowflake, the fields the Growth team needs exposed through our MCP tools, and the work with our data engineers that gets them there.Skills and routines for sellers. The Claude skills the Growth Associates and AEs run each ...

About SnowplowSnowplow is the real-time customer context layer that collects, validates, enriches, and delivers behavioral data for advanced analytics, ML, and AI agent decisioning. Snowplow's event tracking is leveraged across 2M+ websites and applications globally, processing over one trillion events per month. More than 250 companies, including … enrichment. The pipelines that bring third-party signals and first-party behavior into Snowflake, the fields the Growth team needs exposed through our MCP tools, and the work with our data engineers that gets them there. Skills and routines for sellers. The Claude skills the Growth Associates ...

focus of the role Design and build production systems in Go, with work across React and TypeScript where needed. Evolve agent execution, tool use, context management, streaming, and long-running workflows. What we're looking … Strong hands-on experience with Go, React and TypeScript. Hands-on experience building systems around LLMs and agentic workflows- any AI, LLM, OpenAI, Claude, MCP This is a start up technology business so any experience in a start up is beneficial but not essential This role is live ...

build: comfortable with scripting and light application development (Python, JavaScript/Node, APIs, SDKs), and fluent with AI development tooling (Claude, Cursor, agent frameworks, MCP). A CS degree is not required Data-fluent: comfortable in Salesforce, Looker (or similar BI tooling) and a warehouse (Snowflake or similar), able … POCs and agent-driven connectivity WHAT YOU'LL DO Build and maintain the shared systems the field deploys into: demo automation, agent and MCP skill packages, workflow plugins, and the discoverable asset repository — built once, centrally, and reused Turn field signal into a build backlog: define what we need ...

tooling used by engineers across Wise, including security, access to models and tools, telemetry and evaluation. Building an engineering knowledge base exposed through a MCP server, so engineers and AI agents can find trusted internal context when they need it. Leading AI enablement across engineering through hands-on workshops … maintainable and observable. Practical experience using agentic tools to deliver real user stories, not only prototypes. You know how to give agents the right context and constraints, review their output and take responsibility for the result. A genuine passion for AI developer tooling and a habit of learning ...

delivers this new platform. You'll turn a four-plane reference architecture (Identity, Authority, Execution and Assurance) into an executable development strategy, operating model and roadmap, and own engineering execution, talent, quality, security and delivery predictability across the platform. You'll work closely with the VP of Software Development …/Nice to Have: Experience with identity, PKI, cryptography, authorisation, policy engines, workload identity or zero-trust architectures Experience building AI, agentic AI, LLM, MCP or machine-to-machine platforms Delivery under assurance regimes such as FIPS 140-3, Common Criteria, SOC 2, FedRAMP or eIDAS Why Apply? Competitive executive ...

Engineering , including agentic coding environments and automated engineering workflows. Experience building and implementing agentic systems using agent orchestration and frameworks . Advanced prompt and context engineering experience. Understanding of state and memory management within agentic … architectures. Experience implementing deterministic guardrails and evaluations (Evals) . Experience integrating agents with external tools and APIs . Knowledge of emerging agentic protocols, including MCP, A2A and UCP . Experience working with cloud-based data platforms. Snowflake experience would be particularly relevant. Experience deploying and operating solutions within cloud environments. ...

environments, translating business and client needs into product or technical requirements Experience defining business or technical requirements for agentic systems and interoperability protocols (e.g., MCP, A2A) Demonstrated ability to partner effectively with Liquid AI, engineering, and product teams to shape and prioritize a roadmap from a business and commercial perspective … flexibility to adapt scope as Circanas approach to agentic technology continues to evolve Fluency in English (required) Preferred Familiarity with protocols such as MCP, A2A, and AgentUser Interaction Protocol (AG-UI) Familiarity with major AI agent ecosystems (e.g., Microsoft Copilot, Google Gemini, Anthropic Claude) from a business or strategic ...

environments, translating business and client needs into product or technical requirements Experience defining business or technical requirements for agentic systems and interoperability protocols (e.g., MCP, A2A) Demonstrated ability to partner effectively with Liquid AI, engineering, and product teams to shape and prioritize a roadmap from a business and commercial perspective … flexibility to adapt scope as Circana's approach to agentic technology continues to evolve Fluency in English (required) Preferred Familiarity with protocols such as MCP, A2A, and Agent–User Interaction Protocol (AG-UI) Familiarity with major AI agent ecosystems (e.g., Microsoft Copilot, Google Gemini, Anthropic Claude) from a business ...