151 to 175 of 249 Permanent Model Context Protocol Jobs

Amazon Bedrock and SageMaker Claude/Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks and MCP servers Model and data lifecycle management Desirable Experience Experience working within public sector or regulated environments Experience with secure government delivery environments Experience contributing ...

design and delivery of Generative AI solutions for clients. You will architect end-to-end AI systems, including LLMs, RAG, multi-agent workflows, and MCP-based integrations, collaborating with cross‐functional teams to meet defined metrics. The role requires hands-on expertise with modern AI foundations, tooling, and cloud platforms ...

React: the agents people talk to and the apps they click through, built in TypeScript. And you don’t stop there. From API and MCP design to infrastructure on Vercel, AWS, Supabase, and BigQuery, plus the agents that work across the stack, you own complete features end to end, including ...

React: the agents people talk to and the apps they click through, built in TypeScript. And you don't stop there. From API and MCP design to infrastructure on Vercel, AWS, Supabase, and BigQuery, plus the agents that work across the stack, you own complete features end to end, including ...

scale their impact. We value your AI skills if 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 … provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic. Implement tool-calling, function-calling, and MCP-style integrations so agents can safely take actions and interact with the systems around them. Create reusable agent templates, modular components, and paved-path patterns ...

Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context‐window management and production guardrails; MCP, tool‐augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance ...

Engineering, Computer Science or equivalent; advanced degree preferred.* **Agentic AI/LLMs:** LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale.* **Enterprise integration:** Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance ...

Engineering, Computer Science, or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance ...

data visualization and automation tools. Leverage AI coding assistants for rapid prototyping and understanding of modern AI technologies such as RAG, agentic AI, MCP, and vector databases. Proficient in workflow automation tools like Windmill and full-stack technologies like JavaScript/React. Skilled in designing scalable data architectures and working ...

RESTful APIs, SQL, and some exposure to mobile development Familiarity with AI‐assisted development tools (e.g. Codex, Claude Code) and emerging patterns such as MCP Strong domain knowledge in marketing automation, CDPs, eCommerce systems, analytics, or data engineering Advanced discovery and requirements‐gathering skills across multi‐layered stakeholder environments Executive ...

augment your end-to-end design and development process. Expertise with modern AI technologies and ability to apply them to design problems (e.g., MCP, Claude Code, Codex, Skills). Experience shipping production-ready experiences and influencing technical and design choices across teams. Strong understanding of user-centered design principles ...

applications inside client systems, ensuring solutions meet enterprise requirements for performance, security, and reliability. Develop technical assets - Create reusable, production‐ready artefacts including MCP servers, sub‐agents, agent orchestration frameworks, and evaluation tooling that can be deployed across client workflows. Support enterprise deployments - Play a key technical role in rollouts … Identify patterns and scale - Recognise repeatable deployment patterns across engagements and contribute those insights back to Accenture's I&E FDE practice and our model provider partners to continuously improve our delivery playbook. Maintain cutting‐edge expertise - Stay ahead of the curve on LLM capabilities, agentic frameworks, evaluation methodologies ...

three pillars of the AI strategy; AI for Service Delivery, AI forDigital Products and AI for Productivity. This spans the JTC Agentic Platform(MCP-enabled orchestration and validation across JTC systems and market tools),the enterprise document extraction platform, end-to-end billing agents (AgenticThames and the Agentic Wheel), conversational … institutionalise the multi-platform Agent Builder for craft-your-own agents. Agentic Platform & AI Architecture Own the engineering of the JTC Agentic Platform, MCP-enabled orchestration and validation across JTC systems and market tools, maintaining in-house control of the agentic layer to avoid LLM lock-in. Build around ...

Associate Machine Learning Quality Engineer to join the Corporate Engineering AI team. You will help define evaluation frameworks and build automated test pipelines for MCP tools and Skills. You will collaborate with ML engineers to integrate evaluation hooks, address agentic risks, and provide testing evidence for PTB and PTO, ensuring ...

architecture, and collaborate with product managers, engineers, and client teams to build reusable AI-enabled services. You will apply AI-native engineering, integrate with MCP tooling, and work with Azure. The role emphasizes practical delivery, production-ready code, and balancing native vs bespoke solutions in a fast-paced GenAI environment. ...

tasks (containers, cloud configuration) — at Encore, engineers regularly jump between the two Experience working with AI‐assisted coding tools, such as Claude Code Skills, MCP servers and Routines. A product and commercial mindset: the ability to weigh technical work against business impact, prioritise ruthlessly, and know what ...

cannot. You'll be early enough to shape how we sell. This role is based in London. We mainly use an in-person work model, with a flexible work-from-home policy. Take ownership of a named account list , guiding clients through the full sales cycle—from prospecting ...

Java web application development experience. Deep interest and hands-on experience with AI coding tools and LLM-based systems. Experience working with agents, prompts, MCP/tools, or similar ecosystems. Comfortable working at low-level detail including tokens, context windows, latency, and tool orchestration. Expertise in server-side development ...

OneReach.ai, LangChain or similar orchestration frameworks for conversational AI. Design and optimise Retrieval-Augmented Generation (RAG) pipelines, including embedding generation, vector database configuration, API, MCP and retrieval tuning to improve accuracy, latency, and relevance in conversational AI. Prompt optimisation of closed source LLMs, or post-training of open-source LLMs … build new or improve existing agentic workflows. Understand and guide on evaluation frameworks to measure model safety, accuracy, and performance, including recall, precision, F1-score, and other relevant metrics for both conversational AI and classification models. Collaborate with our DevOps team to produce MLOps pipelines to speed up experimentation ...

Next.js Experience managing at least one cloud platform, such as Azure, AWS or GCP Experience working with AI development frameworks such as LangChain, foundation model platforms, vector databases, structured outputs, tracing and evaluation techniques Experience applying modern engineering practices, including testing, CI/CD, DevOps, observability, secure development, code … behaviour of AI-enabled systems Strong communication skills to articulate complex technical solutions Ideally, you’ll also have Experience building complex systems, including writing MCP servers Experience with spec-driven development and configuring coding-agents Experience designing human-in-the-loop workflows, including review, escalation and feedback mechanisms ...

that automate insurance workflows end-to-end across Policy, Billing, and Claims domains. The role owns the patterns, frameworks, and standards for agent orchestration, MCP-based tool ecosystems, agent memory, planning, evaluation, and safety. RAG and conversational features are table stakes; the forward agenda is autonomous and semi-autonomous agents … pricing intelligence, billing troubleshooting, and beyond - across our platform and technology stacks. Key Responsibilities Own the architecture of EIS's agentic platform: agent orchestration, MCP-native tool ecosystems, agent memory (short-term, long-term, semantic), planning, and tool/function calling patterns reusable across product domains. Enable and provide support ...

product requirements, and to provide early, high-level advice on opportunities and possible solutions Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication: Foster strong relationships … focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine-tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms ...

/authz, tenant isolation, and privileged access Immerse yourself in the agent security domain our customers are focused on: prompt injection, agent supply chain, mcp permissions, and non-human identities Security Engineering & Operations Own security across Geordie's cloud infrastructure and internal environments. Own the company's security roadmap, risk ...

design, product mechanics, and client requirements, translating business needs into scalable platforms. Apply modern AI and Generative AI techniques — including RAG, agent architectures, and context engineering — to enhance structuring workflows such as trade idea generation, documentation, and client engagement Drive the design and development of production-grade applications with … Experience with quantitative modelling and derivatives pricing Hands‐on experience with AI/ML frameworks and tooling such as LangChain, LangGraph, vector databases, and MCP-based orchestration Expertise in relational and/or NoSQL databases, data pipelines, and ETL processes Experience with microservices architecture and web development Knowledge of data ...

escapes. Responsibilities Solution Architecture & Design Consulting Serve as the consulting architect for AI use‐case teams across the bank: shape solution designs, data flows, model access patterns, and integration approaches aligned to the enterprise AI platform and gateway architecture. Produce and maintain reference architectures, design patterns, and working examples … gateway/governance patterns: model allowlisting, entitlement‐based access, usage controls, audit logging. Experience with vector stores, retrieval services, evaluation harnesses, and MCP/tool‐integration patterns. Experience mentoring teams new to AI delivery. #J-18808-Ljbffr ...