26 to 50 of 70 Multi-Agent System Jobs in England

enterprise-grade RAG (Retrieval-Augmented Generation) systems, including context engineering and multimodal data pipelines. Design and deployment of autonomous multi-agent systems using modern orchestration frameworks and evaluation approaches. Experience delivering Text-to-SQL solutions and natural language interfaces ...

external customer projects. Preferred qualifications Master’s or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks like ReAct and self-reflection. Experience debugging Agent logic and optimizing tool … lead developer for complex Conversational AI and CX applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi‐agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment. Architect and code conversational flows that ...

Vision We are building a next-generation system that reimagines banking workflows for our Corporate, Commercial, and Investment Bankers. Our vision is to empower them with a revolutionary Agentic AI Platform, featuring intelligent, autonomous agents that streamline processes, uncover new opportunities, and deepen client relationships—ultimately leading … Agentic Frameworks: Deep expertise in building production‐grade agentic systems using GCP as primary (ADK, Vertex AI) Multi‐Agent Systems: Hands‐on experience designing and implementing multi‐agent architectures (task decomposition, coordination ...

your domain and across the broader AI architecture - ensuring cohesion across the full system. This includes architecting AI agents encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as the integration of fine-tuned foundation models … process, evaluating build-vs-buy decisions for AI platforms (e.g., Arize, LangSmith) and foundational models. Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane. Design and implement the Agent Registry ...

shared belief that exceptional people are the foundation of everything great we'll build. The Role We're building a learning system that teaches AI agents how enterprises actually work. Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions … want to work directly with our enterprise customers. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction ...

, prioritizing context engineering, transparency, and explainability to foster user trust. Ability to design end‐to‐end secure, observable multi‐agent systems using complex design patterns (ReAct, self‐reflection, etc.), state management, and tool‐calling protocols. About ...

will be a hands-on AI builder PM at the centre of that shift. You will prototype and ship multi-agent systems that automate the merchandising experiment lifecycle end to end, define the trust and governance patterns that let agents … topics accessible and to drive alignment across senior cross-functional stakeholders. Preferred Qualifications: Experience building or shipping agentic AI systems: multi-agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human-in-the-loop ...

Jobtailor is seeking a Technical Leader to design and scale agentic AI systems, drive enterprise-grade LLM deployment, and define engineering excellence in collaboration with architecture and product teams. The role focuses on mentoring ...

solve real-world problems using AI. Passion for emerging AI technologies and continuous learning. Desirable Experience RAG (Retrieval-Augmented Generation) Multi-Agent Systems Context Engineering AI Evaluation Frameworks Human-in-the-Loop Systems AI-Native Development Learning technologies or educational ...

deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques. Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures. Solid understanding of software engineering principles, including design patterns, data structures, and algorithms. Familiarity with ...

leading financial services clients. You’ll work hands‐on across the full AI engineering lifecycle, from architecting intelligent multi‐agent systems to deploying scalable production‐grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with ...

Vision We are building a next-generation system that reimagines banking workflows for our Corporate, Commercial, and Investment Bankers. Our vision is to empower them with a revolutionary Agentic AI Platform, featuring intelligent, autonomous agents that streamline processes, uncover new opportunities, and deepen client relationships—ultimately leading … Agentic Frameworks: Deep expertise in building production‐grade agentic systems using GCP as primary (ADK, Vertex AI) Multi‐Agent Systems: Hands‐on experience designing and implementing multi‐agent architectures Enterprise AI Integration ...

client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent … pathway to the Forward Deployed Engineer programme. Key Responsibilities Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and programme-level lifecycle observability Define RAG pipeline standards ...

Generative AI and Agentic AI solutions while engaging stakeholders and shaping strategic AI initiatives. If you’re passionate about multi‐agent systems, advanced RAG pipelines, and delivering end‐to‐end AI solutions that create measurable business impact, this role offers both … deploy Generative AI and Agentic AI solutions through the full lifecycle from prototype to production Implement and optimize multi‐agent systems using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK Create orchestration patterns including planner/executor ...

client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent … pathway to the Forward Deployed Engineer programme. Key Responsibilities Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and programme-level lifecycle observability Define RAG pipeline standards ...

delivery, scale the function, and define its future. You\'ll work with Claude, Claude Code, MCP, LangChain to implement multi-agent systems, RAG pipelines, and tooling. This is a hands-on leadership role with three engineers initially. The role is fully ...

extrinsic metrics for model performance aligned with business goals Hands on experience building and deploying agentic AI/multi‐agent systems within regulated or compliance‐driven environments Experience with big data and solid written and spoken communication to effectively communicate technical ...

experience and solid understanding of machine learning and deep learning methods Hands on experience building agentic AI/multi‐agent systems within regulated or compliance‐driven environments Recent hands‐on experience training, deploying models and pipelines Ability to design experiments ...

experience and solid understanding of machine learning and deep learning methods Hands‐on experience building agentic AI/multi‐agent systems within regulated or compliance‐driven environments Ability to design experiments and training frameworks, and to outline and evaluate intrinsic ...

experience and solid understanding of machine learning and deep learning methods. Hands‐on experience building agentic AI/multi‐agent systems within regulated or compliance‐driven environments. Ability to design experiments and training frameworks, outline and evaluate intrinsic and extrinsic metrics ...

establishing an \"Agentic Factory\" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design … teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production-ready multi-agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions ...

clients who want deeper understanding of how customers engage with their products and services Contribute to engineering teams across complex, multi‐system agentic programmes Contribute to technical standards, quality frameworks and architecture governance Ensure systems are designed for scalability, observability and compliance Collaborate … with production experience in Python and similar languages across AI systems Experience building or contributing to RAG pipelines, multi‐agent systems or LLM‐based products, ideally at meaningful scale Hands‐on experience with at least one major cloud AI platform ...

Agentic AI solutions, engaging stakeholders and shaping strategic AI initiatives. The role combines engineering leadership with technical consulting across multi-agent systems, RAG pipelines, and end-to-end AI delivery. You will lead delivery, ensure governance and data privacy, and contribute ...

deliver end-to-end value for the Risk business. The ideal candidate has expertise in software engineering, data science, and multi-agent systems with strong skills in Python and AWS. This position emphasizes leadership and strategic vision in AI deployment. #J ...

industries such as pharma and financial services. Our platform helps organisations navigate complex, interconnected data and automate sophisticated workflows using multi-agent AI systems. The role We need someone who can turn product vision into shipped product, week after week. You will ...