176 to 198 of 198 Model Context Protocol Jobs

D360Build proof-of-value demos (target: under two weeks) with AEs/SEs to accelerate buying decisionsFluent in headless architecture and AI-driven agents (MCP, A2A) — always applied through a data-first lensLong-term trusted advisor to strategic accounts, beyond any single deal3. Reference Architecture & Technical GTMBuild reference architectures … Skill SetData Platforms: Cloud DWH/DL (GCP, Snowflake, Databricks, AWS, Azure), ingestion pipelines, data modelling, governanceAI & Agentic: GenAI, RAG, vector stores, agent lifecycle, MCP/A2A interoperabilitySalesforce Platform: Data 360, Agentforce, Agent Builder — deep architectural fluencyIntegration/BI: MuleSoft, hyperscaler SDKs, Tableau/PowerBI/Looker familiarityKey QualitiesFuturist — connects ...

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 ...

Define and maintain the target architecture for enterprise ontologies, knowledge graphs, controlled vocabularies, semantic services, and ontology-driven AI capabilities Establish the ontology layering model across enterprise, domain, country, and use case levels, including ownership, inheritance, extension, localization, and reuse principles Define standards for semantic modelling, classifications, relationships, constraints … validation, provenance, and lifecycle management Drive the integration of ontologies and knowledge graphs with the Agentic AI Platform, including GraphRAG, Vector RAG, agent runtime, MCP tools, memory, and source-system access Define patterns that combine semantic context with documents, operational and analytical data, process context, and agent runtime ...

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 ...

beneath the interface: the core set of skills and tools that agents call, the guardrails that keep them safe to use, the data and context they reason over, and the agentification of WPP's own applications so that they can be operated by an agent and not only … design, context & memory management, multi-agent orchestration, and connectivity standards such as MCP.Direct experience with working with agent and tooling ecosystems such as MCP/A2A servers and clients, LangChain or LangGraph, Semantic Kernel or comparable skill and tool frameworks. Experience defining guardrails, permissions and safety controls for autonomous ...

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 ...

treats that as part of the job, not a side project. What you will do Conduct in-depth analysis of client needs and context, identify where AI delivers real value, and challenge stakeholders to develop solutions that address the actual problem rather than the surface symptom Design, formalise … your own work, while staying in control and challenging the output when it is wrong Practical understanding of Claude Code, Cowork, plugins and skills, MCP connectors, and what an AI agent actually is and is not Technical background sufficient to discuss enterprise architecture, integrations, and data flows at a senior ...

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. ...

expand coverage, hunt edge cases a human wouldn't think of, and keep test suites from rotting Build the prompts, context files and guardrails that make agent output reliable rather than plausible-looking Decide what AI should not touch some things need a human, and knowing where that line … fintech or another regulated industry you understand why the audit trail matters You've built something with AI agents before custom instructions, agent workflows, MCP, RAG, whatever it was. Tell us what worked and what didn't Nice to Have OWASP Top 10 awareness Exposure to performance testing (k6, JMeter ...

framework may vary for later projects depending on their needs. Many applications will be accessed through AI assistants via the Firm's MCP gateway, making backend services, data modelling and secure integration central to the role. We need a practical product engineer who can bring structure to incomplete or experimental … agree a practical route to production. Build Python services, relational data models, APIs and background processing; add lightweight frontend interfaces where useful. Develop MCP integrations through the Firm's gateway, handling authentication, permissions and token exchange with downstream applications. Work with Technology on approved cloud deployments and connections ...

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 ...

orchestration & frameworks and advanced prompt/context engineering. Understanding of state & memory Management, deterministic guardrails & evaluation (Evals), tool & API integration, agentic protocols including MCP, A2A, UCP.Experience of working with cloud based data platforms (we use Snowflake).Experience of deploying/running solutions on cloud based infrastructure ...

feedback to improve the Factory. • Work with partner and developer teams to enable appropriate external use of capabilities through secure APIs and tools, including MCP, where this supports the strategy. Own delivery and the economics of AI • Translate strategy into a prioritised roadmap with clear customer outcomes, milestones, dependencies … limitations. Additional experience that would be valuable • Building agent frameworks, workflow orchestration, AI evaluation or observability capabilities, or developer platforms for AI. • Working with MCP, secure tool access, agent interoperability or external developer and partner ecosystems. • Delivering products where sensitive data, financial accuracy, permissions and auditability are central to customer ...

Generative AI and Agentic AI, including their capabilities, limitations and failure modes, with sound judgement on when deterministic software is the better solutionExperience with context engineering, including retrieval-augmented generation (RAG), grounding, knowledge sources, memory, prompt design … controlled access to information. Experience building AI agents and agentic workflows, including task decomposition, orchestration, state management, tool integration through protocols such as MCP and human approval controls. Experience using AI-assisted development tools and coding agents as a core part of how you engineer, applying strong verification and taking ...

Generative AI and Agentic AI, including their capabilities, limitations and failure modes, with sound judgement on when deterministic software is the better solutionExperience with context engineering, including retrieval-augmented generation (RAG), grounding, knowledge sources, memory, prompt design … controlled access to information. Experience building AI agents and agentic workflows, including task decomposition, orchestration, state management, tool integration through protocols such as MCP and human approval controls. Experience using AI-assisted development tools and coding agents as a core part of how you engineer, applying strong verification and taking ...

security, governance, architecture or scalability. A significant part of the role will involve emerging AI technologies, including AI applications, agentic systems, AI orchestration and MCP tooling, alongside cloud-native development, MLOps and platform integration. What you'll doLead development, prototyping and innovationOwn the development and prototyping capability for Open Intelligence … network. Drive AI and technical innovationProvide technical leadership for AI application development and agentic systems. Establish practical implementation patterns for AI orchestration frameworks and MCP tooling. Help teams experiment rapidly with AI-enabled capabilities while maintaining appropriate standards around architecture, security, data governance and operational readiness. Develop reusable approaches ...

turn front-end product screens into real working software functionality inside an existing codebase. This role is centered around using Claude Code, Codex and MCP tools in the terminal to analyze codebases, review designs and backend documentation, create missing front-end documentation, implement features, debug issues, and refine production-ready … work correctly Strong front-end experience is required.Prior hands-on experience with Claude Code and Codex is required. Prior hands-on experience with MCP server integrations is required. Candidates should already be comfortable with vibe coding workflows.A strong QA mindset is essential for success in this role. The ideal candidate ...

that need: ASKB has become a primary conversational interface, grounded in accuracy, transparency and trusted content, and as firms adopt AI across ASKB, agents, MCP-based tools and connectors, the controls and policies governing content access must extend across the entire Terminal experience. Bloomberg is committed to using client content … this layer end-to-end — from the enterprise admin console through the platform primitives that other product teams, including AI, MCP and connector teams, build on. This is a durable and expanding mandate: as the Terminal and its AI surface grow, you'll ensure the controls, compliance capabilities and policies ...

long-running agentic workflow systems, including AI gateways and supporting infrastructure services. Design Docker-based services using Linux container environments, Python, FastAPI, TypeScript, MCP/FastMCP, OpenAI and AWS Bedrock. Apply secure boundaries around credentials, service access, tool invocation and human-in-the-loop operation for AI/agentic systems. … distributed services, APIs and integrations. Strong, current hands-on experience with Docker/containerised environments, Python, FastAPI, TypeScript, and AI-specific tooling such as MCP/FastMCP, OpenAI APIs and AWS Bedrock. Practical experience building or integrating AI gateways, agentic workflow systems, or similar AI infrastructure — not just using ...

intelligence from kickoff to adoption. Gong experience is strongly preferred; experience with a similar CI platform also counts. Deep Salesforce expertise across architecture, data model, automation, integrations, and governance. Salesforce certifications are a plus. Hands-on experience connecting GTM tools through APIs and workflow automation platforms. Working knowledge … tools, such as Snowflake and Sigma, to connect system data to reporting. Comfort with AI-enabled workflows, including LLM-based automation and MCP, and a clear sense of where automation shines and where people still lead. Experience with enablement, lead routing, and sales intelligence platforms. Experience managing vendors, contracts ...

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 ...

Enterprise AI stack: HANA Cloud graph and vector store sizing, CAP service layer design, BTP subaccount structure, and Claude model route governance via MCP connector and Skald Gateway. Proven ability to design and govern GraphRAG knowledge planes: ontology and graph edge construction, domain and provenance tagging strategy, trust gate … complete deployment lifecycle — from subaccount provisioning and ingestion pipeline build through to client handover and production go-live. Direct experience with Claude Code, MCP-based tool integrations, or equivalent agentic AI frameworks in a controlled enterprise environment, including connector setup, security approval, and end-to-end testing. Experience with ...