551 to 575 of 588 Model Context Protocol Jobs

agents. Someone who has already rebuilt how they personally work around them — who runs their own harness, writes their own tools, has opinions about context management and eval design, and gets visibly restless watching a human do something an agent should be doing. You should be energised … failed, what you measured, and how you fixed them. You are fluent in the stack as it is, and tracking where it's going. MCP, tool and context design, retrieval, orchestration, eval harnesses, observability. Equally: you know what's changing, you have views on what the next capability jump ...

engineering (security, compliance, scalability) and support customers and partners through implementation. Establish success metrics for integrations and iterate based on real usage. API/MCP Own the product direction for Xapien's configuration API and MCP capabilities — how customers and AI agents programmatically configure, run, and consume Xapien research. Drive ...

unauthorised exfiltration of sensitive information across network, cloud, endpoint, and AI-integrated environments. Extend data classification and DLP coverage to AI ensuring training datasets, model inputs and outputs, and inference logs containing sensitive data are subject to the same controls as the broader data estate. Lead the engineering … security risks — including training data exposure, model inversion, prompt injection, and the data privacy implications of generative AI and agentic workflows such as MCP-integrated platforms. Collaborative by default, with a track record of partnering with IT, software engineering, and privacy teams to deliver data security outcomes that enable ...

types, validation rules – and can be trusted to operate on it correctly. You'd be doing full-stack product work in TypeScript and React: MCP tools and integrations, agent orchestration, system prompts, evals to make the whole thing more reliable. Engineers on this team own their domain and work closely … product on what gets built next. Responsibilities Deliver full‐stack product work: design and build React interfaces in Dashboards, APIs, and backend services. Develop MCP tools and integrations that extend what the agent can do. Implement agent loops – the orchestration logic that decides what the agent does, in what order ...

develop their judgement on using AI tooling Set standards for how technical problems are solved Be accountable for shipped deliverables Build and maintain integrations, MCP builds, API connections, and infrastructure supporting the GenAI platform Build systems, tools, and solutions in an AI-native way Represent engineering with senior stakeholders … Solving Soft Skills Mentoring Stakeholder Communication Problem-Solving Collaboration Industry Keywords Technical Direction Integration Delivery Quality Matrix Structure Tools & Technologies GenAI Tools API Connections MCP Builds AI-Enabled Tools #J-18808-Ljbffr ...

journey: onboarding workshops, developer hackathons, live troubleshooting, executive security reviews, adoption working sessions. Build and ship working software (Claude Code plugins, agents, sub-agents, MCP integrations, Cowork skills) both as customer deliverables and as reusable field assets. Drive adoption of the Claude Code capabilities that make the product stick … agents, skills, hooks, MCP, headless mode, managed settings) and turn new capabilities into field-ready demos and guides within days of release. Own enterprise deployment and identity conversations: SSO (SAML/OIDC), SCIM provisioning, role, seat, and spend-limit management, sandbox and permission design. Sit credibly across from CISOs ...

frameworks (e.g., Kubernetes)Strong debugging skills and the ability to navigate performance/security tradeoffs in production systemsComfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product developmentNice to haves: Experience … founder or early engineer at an infrastructure-focused startup, owning a product end-to-endFamiliarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP)Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks)Exposure to snapshotting and restore techniques (e.g., CRIU ...

e.g., Kubernetes) Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development Nice to haves: Experience as a founder … early engineer at an infrastructure-focused startup, owning a product end-to-end Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP) Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots ...

delivery of Quality Engineering strategies. Manage project-level client relationships and communicate progress, risks and recommendations. Drive adoption of GenAI tooling, including Playwright with MCP, GitHub Copilot and Claude. Contribute to internal QE communities, standards and best practices. Experience you'll need as a Quality Engineering Manager Several years experience …/TypeScript, Python, Java or C#. Experience building and assessing automation frameworks, not just using them. Hands-on experience with GenAI in a QE context and AI-assisted coding tools. Experience defining tooling strategies and conducting QE assessments. Experience leading or mentoring QE or automation engineering teams. Strong client ...

setup, configuration, and maintenance of AI tooling across the business (e.g., Claude Code, Cowork, Codex-style coding/agent tools), including integrations, MCP server configuration, and connector management. Manage user access, permissions, and governance for AI tools, ensuring least‐privilege access and secure connector/integration setup. Partner with teams … conducting vendor security assessments. Experience setting up and administering AI coding/agent tools (e.g., Claude Code, GitHub Copilot, Codex) and their integrations, including MCP servers, connector permissions, and access management. Desirable Skills ITIL and project management certifications (e.g., Prince2). Advanced knowledge of infrastructure best practices and proactive problem ...

jobs Vercel does for many customers through the Solutions Architecture function. On your accounts, you do them deeper, more often, and with sustained context that a generalist SA can't match. The best TAMs save customers more than the cost of the engagement through this work alone. Scope … tools company (AWS, Cloudflare, MongoDB, Snowflake, Datadog, GitHub, etc.). Have hands‐on experience with AI agent development, particularly using the Vercel AI SDK, MCP servers, or similar frameworks. Have led FinOps or cloud cost‐optimization engagements at scale. Have run an annual technical roadmap workshop or “Well‐Architected Review ...

DOING:Defines the vision, strategy and roadmap for LSEG's AI Core Platform. Owns product direction for enterprise AI platform capabilities including AI Gateway, MCP SDK, IAM, orchestration, scale and shared platform services. Partners with Engineering to deliver secure, scalable and highly available platform capabilities. Establishes platform standards, APIs … BRING:Bachelor's or Master's degree in Computer Science, Engineering, Information Systems or equivalent experience. Strong understanding of AI platforms, LLM ecosystems, MCP Servers, API gateways, orchestration frameworks and enterprise security is essential. Significant experience in Product Management, Platform Product Management or Developer Platform products. Experience delivering enterprise software ...

able to defend it in a code review. Think in terms of workflows rather than single prompts. That means investing in the context these tools work from, whether that is repository level instructions, reusable skills or a shared knowledge base, so the output stays consistent and other people … involved in connecting tools together, for example bringing design tools such as Figma into the development flow, or wiring our own systems up over MCP so an agent can do something useful end to end. Strong TypeScript knowledge. Strong React knowledge. Experience with state management libraries, such as Zustand. Ability ...

design and ship AI-powered systems that GTM teams depend on for real commercial outcomes, not internal prototypes. That means making engineering decisions about model choice, agent design, and RAG pipelines the same way you would about any other production system, and taking full ownership of what happens when … agents, shipping AI-built systems to production, with concrete proof of impact rather than demosGenuine fluency with LLM APIs, agent frameworks, RAG pipelines, and MCP integrations, as an active practitioner rather than an occasional userDeep engineering judgment: you can validate AI-generated code, reason about security and architecture ...

feed those findings back to product, engineering, and research. Spot patterns across partners to inform what we build at the ecosystem level, including MCP servers for domain-specific data sources, scientifically grounded benchmarks and evals, and reusable agent skills. Create technical presentations, demos, and scalable content (documentation, tutorials, sample code … other mission-driven scientific organizations, and an understanding of their unique challenges and constraints. Familiarity with common LLM implementation patterns, including prompt and context engineering, evaluation frameworks, agent architectures, and retrieval frameworks. A love of teaching, mentoring, and helping others succeed. A scrappy mentality: comfortable wearing multiple hats, building ...

Roku? At Roku, AI agents do most of the keystroke-level coding. Engineers act as the technical leads for those agents — setting context, planning work, verifying outputs, and recovering when the agent goes off course. We're embracing AI as a powerful tool to amplify human creativity, accelerate innovation … Server-Side Ad Insertion (SSAI) and advertising technology ecosystemsYou have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

Zendesk AI features, including knowledge base, FAQs, and agentic or assisted chat Build and maintain integrations across Box, JIRA, HiBob, and other platforms Develop MCP-based and Claude Code-driven automations to remove manual handoffs between teams Ensure automations affecting validated or GxP-relevant systems are version-controlled, peer-reviewed … regulated environment such as GxP, ISO 27001, medical devices, or clinical trials preferred Familiarity with computerised system validation concepts preferred Exposure to MCP, agentic automation patterns, or workflow tooling preferred Understanding of information security fundamentals, including access control, data classification, and least privilege preferred Core Competencies Demonstrates expertise in designing ...

London Stock Exchange Group is seeking a Lead ML Engineer to shape the next generation of enterprise AI platforms. You will design MCP servers and tools that expose internal systems to AI agents, implement skills that orchestrate tools and data, and collaborate with product teams to ensure governance, security … scalable performance across the MCP ecosystem. The role emphasizes building and integrating agentic capabilities with LSEG AI Assist, QAS, and MCP gateway, while working with #J-18808-Ljbffr ...

agency, entrepreneurial approach and experience building something from zero Experience as a technical founder or CTO, working within a frontier AI partner ecosystem, developing MCP or enterprise tool integrations, or operating within a forward-deployed model would be particularly valuable. This is a rare opportunity to define what outstanding ...

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 ...

intelligence, and this role owns the platform foundations that make it possible. You will define the AI-ready data strategy, semantics layer, and MCP-first distribution approach that powers internal product teams, partner integrations, and AI-native customer experiences. This is a highly influential individual contributor role where you will … help establish how ICIS delivers trusted market intelligence through AI. Responsibilities Own the platform mission and roadmap for AI-ready data, semantics, and MCP-first distribution Define the standards, data contracts, schemas, versioning, deprecation approaches, and quality measures that underpin AI-ready data across ICIS Evaluate customer signals and identify ...

turning a per-seat assistant into a firm-wide AI platform — setting direction, holding the pillars together as one coherent product, owning the commercial model, and expanding the business into new cohorts such as research, private credit and insurance. You'll represent the product to senior leadership and enterprise … usage-based or capacity-based pricing. Experience with enterprise identity, governance or administration platforms. Knowledge of enterprise integrations — APIs, connectors, SharePoint, Snowflake, Databricks or MCP frameworks. Domain fluency in financial markets and how regulated institutions evaluate technology. If indicated, please note that years of experience are a guide; we will ...

self-service offers, campaigns, and performance. Set each stakeholder's FY plan and KPI targets, using judgment on what's realistic given their business context, and adjust that plan in monthly reviews. Lead quarterly business reviews with stakeholders — reading the room, negotiating priorities, and making the call on what … workflows, experimentation frameworks, or predictive segmentation models. You have an in-depth understanding of how LLMs and Agents work and how APIs compare to MCP, combined with insight into how these technologies can support the email channel. Unleash Your Potential When you join Salesforce, you’ll be limitless ...

wider Information Security organisation, including 1st, 2nd and 3rd lines of defence, you will help deliver agentic security solutions that support our target operating model and future security strategy. Key Responsibilities As a Senior Security Engineer - AI, you will: Design and develop security solutions for AI-driven and agentic … practical implementation or conceptual design, including: Security and governance for AI solutions, including identity, observability and risk management. Agentic architectures and patterns such as MCP, RAG, Tools, Memory and Harnesses. Experience working within complex, enterprise-scale environments. The ability to translate security requirements into practical, engineering-aligned solutions. Hands ...

feed those findings back to product, engineering, and research. Spot patterns across partners to inform what we build at the ecosystem level, including MCP servers for domain-specific data sources, scientifically grounded benchmarks and evals, and reusable agent skills. Create technical presentations, demos, and scalable content (documentation, tutorials, sample code … other mission-driven scientific organizations, and an understanding of their unique challenges and constraints. Familiarity with common LLM implementation patterns, including prompt and context engineering, evaluation frameworks, agent architectures, and retrieval frameworks. A love of teaching, mentoring, and helping others succeed. A scrappy mentality: comfortable wearing multiple hats, building ...