24 of 24 Multi-Agent System Jobs in the UK

with the most challenging technical problems Build breakthrough ML systems that matter – Develop net-new generative AI platforms, multi-agent orchestration systems, and intelligent automation that will process billions in credit decisions; experiment with frontier models, novel architectures, and unconventional … change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly – Lead exploration of generative AI, multi-agent systems, RAG architectures, model fine-tuning, prompt engineering, and other emerging ML technologies; create cutting-edge proofs-of-concept ...

with the most challenging technical problems Build breakthrough ML systems that matter – Develop net-new generative AI platforms, multi-agent orchestration systems, and intelligent automation that will process billions in credit decisions; experiment with frontier models, novel architectures, and unconventional … change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly – Lead exploration of generative AI, multi-agent systems, RAG architectures, model fine-tuning, prompt engineering, and other emerging ML technologies; create cutting-edge proofs-of-concept ...

systems engineering Design and build LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops Build multi-agent systems covering planning, delegation, tool use, safety constraints and monitoring Build retrieval pipelines: embeddings, vector stores, RAG and semantic search Apply … applied data engineering Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector stores Practical experience building multi-agent systems, agent orchestration or MCP-style tool patterns Strong Python, with a track record of production ...

something significant. What We Offer: Build breakthrough ML systems with real impact – Design and ship production generative AI platforms, multi-agent systems, and intelligent automation that will process billions in credit decisions; work on problems at the frontier of applied … capabilities from research/prototype to production-scale deployment; experience supporting seamless transitions from experimentation to enterprise-grade ML systems Multi-agent and agentic systems expertise – Hands-on experience building sophisticated multi-agent ...

discovery sessions. Preferred qualifications: Masters degree or PhD in Artificial Intelligence, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct … granular tracing. Responsibilities: Serve as a developer for AI 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 (ROI). Architect and code the "connective ...

delivering production-ready Agentic AI and Generative AI solutions Leading architecture decisions across AI, data, cloud and MLOps environments Building multi-agent systems, RAG frameworks and LLM-powered applications Driving AI governance, observability and Responsible AI best practices Advising senior business … Databricks, MLflow and modern AI platform experience LangChain, LangGraph, Semantic Kernel, AutoGen or similar frameworks Retrieval-Augmented Generation (RAG) architectures Multi-agent orchestration platforms Responsible AI and governance experience Why Join? Join a business making significant investment in AI and emerging technologies ...

native architecture Nice to Have AWS certifications (ML/Architect) Experience with MLOps, CI/CD, Responsible AI Exposure to multi-agent systems & AI governance ...

develop Agentic AI solutions capable of multi-step reasoning, planning, and autonomous action execution. Architect multi agent systems, orchestration patterns, and scalable AI microservices. Build AI applications using Python and Azure OpenAI technologies. Develop RAG architectures ...

develop Agentic AI solutions capable of multi-step reasoning, planning, and autonomous action execution. Architect multi agent systems, orchestration patterns, and scalable AI microservices. Build AI applications using Python and Azure OpenAI technologies. Develop RAG architectures ...

following areas would be advantageous: * Agentic AI * AI Agents & Autonomous Workflows * Generative AI & LLMs * Retrieval Augmented Generation (RAG) * Multi-Agent Systems * MLOps/LLMOps * LangGraph, LangChain, Semantic Kernel, CrewAI or AutoGen * OpenAI Agents, Microsoft Copilot Studio and MCP * Azure ...

ownership from architecture and prototyping through to deployment, monitoring and continuous evaluation. Key responsibilities: Design and deliver production GenAI and multi-agent systems Build agentic workflows, RAG solutions, tool use and multi-step orchestration Define evaluation strategies … CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with CI/CD, cloud infrastructure and application deployment Comfortable working directly with clients and senior stakeholders Experience ...

ownership from architecture and prototyping through to deployment, monitoring and continuous evaluation. Key responsibilities: Design and deliver production GenAI and multi-agent systems Build agentic workflows, RAG solutions, tool use and multi-step orchestration Define evaluation strategies … CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with CI/CD, cloud infrastructure and application deployment Comfortable working directly with clients and senior stakeholders Experience ...

systems, combining intelligent automation with scalable cloud technology. You'll take ownership of AI architecture and implementation, designing multi-agent workflows, retrieval-augmented generation (RAG) solutions and AI microservices. Working closely with architects and product teams, you'll turn business requirements … Azure AI Foundry Semantic Kernel and LangGraph Model Context Protocol (MCP) and tool integration Azure AI Search and RAG architecture Multi-agent systems and orchestration workflows Vector databases, embeddings and semantic search Event-driven architectures and REST APIs Docker, Kubernetes ...

production, solving complex business challenges through LLMs, autonomous agents and intelligent automation. Key Responsibilities Build and deploy single and multi-agent systems, RAG pipelines and AI-powered workflows. Work with leading AI platforms and frameworks, including OpenAI, Anthropic, Google, Microsoft … experience building LLM-powered applications and AI agents. Understanding of RAG, tool-calling, agent orchestration and multi-agent workflows. Experience with APIs, databases, cloud platforms and enterprise integrations. Strong debugging, testing and problem-solving skills. Comfortable working directly ...

validation and governance Practitioner-level agentic AI skills : a demonstrated track record of building, deploying and evaluating AI agents and multi-agent systems, including tool use, orchestration and state management using modern agent frameworks Strong, practical knowledge ...

Spark, or similar cloud-based data platforms. Ability to influence senior stakeholders and lead technical strategy Desirable Experience Experience building multi-agent AI systems and orchestration frameworks. Background within insurance, financial services, or other highly regulated environments. MSc, PhD, or equivalent ...

applications using Microsoft Azure. * Develop production-ready software and APIs using C#/.NET and Azure AI services. * Build multi-agent systems and AI-powered workflows, integrating with existing applications and data sources. * Apply techniques such as prompt engineering ...

solutions Designing RAG, vector database and enterprise search architectures Working across OpenAI/Azure OpenAI, Anthropic and Google Gemini Designing multi-agent systems, tool calling and orchestration API-led and event-driven architecture across Microsoft and enterprise platforms Running customer discovery ...

delivery of agentic AI solutions using GCP, Vertex AI and Gemini. Design agent workflows and multi-agent architectures, integrating them with existing business systems. Define how solutions are monitored and ensure they are secure, scalable and reliable. Work … with the ability to explain your decisions and lead delivery. Practical experience with agent design patterns, multi-agent systems and monitoring. Confident communication with clients and technical teams. Experience in customer service or contact centre transformation. Salesforce ...

live and under pressure than how impressive it looks in a demo. What You'll Be Doing Architecting and building multi-agent AI systems end-to-end, combining frameworks such as LangGraph or Haystack where they add value with bespoke orchestration … that's clean, tested and built to last, not just prototypes that work once Commercial track record building and owning multi-agent or agentic AI systems in live production settings, as an engineer rather than an integrator Strong Python skills, comfortable ...

live and under pressure than how impressive it looks in a demo. What You'll Be Doing Architecting and building multi-agent AI systems end-to-end, combining frameworks such as LangGraph or Haystack where they add value with bespoke orchestration … that's clean, tested and built to last, not just prototypes that work once Commercial track record building and owning multi-agent or agentic AI systems in live production settings, as an engineer rather than an integrator Strong Python skills, comfortable ...

Role Purpose Provide specialist security leadership for Agentic AI, autonomous workflows, multi-agent systems and LLM-powered applications. The role will focus on protecting AI agents, tools, memory, data and orchestration layers from misuse, adversarial attacks and unintended actions. Key Responsibilities … Lead threat modelling for AI agents, tool-calling architectures, autonomous workflows and multi-agent ecosystems. Assess security risks across prompts, models, memory, retrieval, APIs, plugins, tools and identity boundaries. Conduct AI red teaming and adversarial testing for agent ...

orchestration frameworks, memory architectures, and tool-use capabilities. Developing custom AI workflows using large language models, retrieval systems, and multi-agent architectures. Collaborating closely with product and engineering teams to embed AI into real-world business processes. Contributing to the architecture … LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience deploying, monitoring, and optimising AI solutions in production environments. A builder's mindset with a passion for solving ...

solutions - with Production support experience (Production Deployment experience) Build scalable and robust AI architecture, including LLM-powered systems and multi-agent frameworks Translate business requirements into actionable AI models and system designs Ensure performance, reliability, scalability, and cost optimization … solutions Develop and implement Generative AI solutions using Large Language Models (LLMs) Build Agentic AI systems, including multi-agent orchestration and autonomous workflows Design and implement LLM-based assistants, copilots, and conversational AI systems Integrate AI solutions with enterprise applications ...