26 to 50 of 83 Multi-Agent System Jobs in the UK

multi‐agent systems. Working familiarity with enterprise IT architecture, cloud platforms (AWS, Azure, GCP), and system integration patterns. Consulting & Client Skills High agency; comfortable navigating ambiguity, working across complex organisations, and contributing without a well‐defined playbook. Strong communication skills ...

hands‐on technical leadership experience at Principal/Lead level. Strong expertise in Generative AI, LLMs, agentic architectures, and multi‐agent systems with proven production delivery in regulated environments (FS preferred). Proven experience building agentic solutions using Microsoft Copilot Studio ...

execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. … field. Experience in machine learning engineering. Strong proficiency in Python and experience deploying end‐to‐end pipelines on AWS. Hands‐on experience in system design, application development, testing, and operational stability. Preferred qualifications, capabilities, and skills: Strategic thinker with the ability to drive technical vision for business impact. ...

follow-up actions Identify recurring operational issues and automate remediation to improve platform stability and developer experience Build and maintain multi-agent systems with strong orchestration, including planning, coordination, tool-calling, state and memory management, and workflow control where appropriate Drives … coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Required qualifications, capabilities, and skills Hands-on experience with system design, application development, testing, and operational stability in production environments Advanced proficiency in Python for building production-grade services and tooling Proficiency with automation ...

Product Developer on user-facing agentic features in the beanies stream. Research & Innovation Monitor developments in agentic AI, LLMs, and multi-agent systems, bringing relevant innovations into BFT's product thinking. Evaluate new AI tools, frameworks, and APIs, producing recommendations … Interest in large language models (LLMs), prompt engineering, and AI agent architectures. Interest in agentic or multi-agent frameworks (e.g., LangChain, AutoGen, CrewAI, OpenAI Assistants, or equivalent). Proficiency in Python and experience with AI/ML libraries. ...

Agentic AI solutions that address client challenges and create measurable business value. Lead the architecture and implementation of autonomous and multi-agent AI systems using hyperscaler AI platforms, with a strong preference for AWS-native services and patterns. Collaborate with business … experience strongly preferred (e.g., Bedrock, Lambda, Step Functions and related AI services). Hands-on experience implementing AI agents, multi-agent systems, intelligent workflow automation, RAG architectures and AI-powered assistants in enterprise environments. Strong knowledge of agentic frameworks and orchestration ...

Agentic AI solutions that address client challenges and create measurable business value. Lead the architecture and implementation of autonomous and multi-agent AI systems using hyperscaler AI platforms, with a strong preference for AWS-native services and patterns. Collaborate with business … experience strongly preferred (e.g., Bedrock, Lambda, Step Functions and related AI services). Hands-on experience implementing AI agents, multi-agent systems, intelligent workflow automation, RAG architectures and AI-powered assistants in enterprise environments. Strong knowledge of agentic frameworks and orchestration ...

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 ...

powered products used by real users. Examples of relevant experience include: LLM-powered applications Retrieval-Augmented Generation (RAG) Agentic workflows Multi-agent systems Tool calling and orchestration AI assistants Workflow automation Vector databases and semantic search AI evaluation and monitoring Real ...

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 ...

System Architect to oversee the architecture of EIS's agentic AI platform, focusing on the design of multi-agent systems that automate insurance workflows end-to-end across various domains. The ideal candidate will lead AI DevOps, define autonomy ...

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 ...

clients. We seek a hands-on senior AI engineer embedded in client delivery teams to design, build, and operate multi-agent AI systems on AWS. You'll own end-to-end implementations using Amazon Bedrock, MCP servers, and RAG pipelines, while ...