1 to 25 of 70 Multi-Agent System Jobs in England

competing requests from multiple teams by applying a clear prioritisation framework you'll help develop and improve Design and ship multi-agent systems and production-grade automations that measurably improve how internal teams and customer-facing staff work Build RAG pipelines … wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise ...

products that solve genuine business problems rather than proof-of-concepts. Projects include: Enterprise AI Platforms Agentic AI AI Agents Multi-Agent Systems Voice AI Conversational AI AI Assistants Document Intelligence Intelligent Search Knowledge Management Enterprise Data Platforms Workflow Automation … following technologies. Enterprise AI Generative AI GenAI LLMs Large Language Models Foundation Models Agentic AI AI Agents Autonomous Agents Multi-Agent Systems RAG Retrieval Augmented Generation Prompt Engineering AI Evaluation AI Observability AI Governance Responsible AI AI Security Guardrails Model Context ...

embedded with the client, turning ambiguous business problems into production agents, fast. Your deliverable is Business Transformation Agents: autonomous and multi-agent systems that automate and reimagine real business processes such as invoice disputes, procurement approvals, onboarding, claims and compliance workflows. … ks.Build Business Transformation Agent s: design and ship single-agent and multi-agent systems in Python using ADKs that automate and transform real client workflows, with measurable R OI.Own efficiency as the scorecar ...

embedded with the client, turning ambiguous business problems into production agents, fast. Your deliverable is Business Transformation Agents: autonomous and multi-agent systems that automate and reimagine real business processes such as invoice disputes, procurement approvals, onboarding, claims and compliance workflows. … prototype in days, not weeks. • Build Business Transformation Agents: design and ship single-agent and multi-agent systems in Python using ADKs that automate and transform real client workflows, with measurable ROI. • Own efficiency ...

yours.Responsibilities: Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google … Architecture* Enterprise AI Solutions* AI System Architecture* Google Cloud Platform (GCP)* Technical Discovery Sessions* French (Fluent)* German (Fluent)* Multi-agent Systems* LangGraph* CrewAI* ADK* ReAct* Self-reflection* Hierarchical Delegation* Post-sales* Technical Consulting* Large Language Model (LLM) Metrics* State ...

lead developer embedded within customer accounts, for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) Architect and code the connective tissue between Google’s AI products and customer's live infrastructure … unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation). Knowledge ...

Agentic AI & Automation Design and implement agent-based architectures Build autonomous and semi-autonomous workflows Develop multi-agent systems where appropriate Leverage modern orchestration frameworks to improve customer outcomes AI Infrastructure & Architecture Build scalable AI foundations … Python engineering capability Experience deploying AI products into real-world environments Experience with several of: LLM applications Agentic AI frameworks Multi-agent systems RAG architectures Vector databases AI orchestration platforms AI evaluation and observability tools Model optimisation and fine-tuning Mindset ...

with customers. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience … yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google ...

technical discovery sessions. Preferred qualifications: Master’s or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Knowledge … 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 ...

local stakeholders. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience … yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google ...

local stakeholders. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience … yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between ...

demand production systems with measurable ROI, governance, and scale, and most stall in the gap between an impressive pilot and a system that survives production. EXL lives in that gap. We are accountable for outcomes on our clients’ data, in their environment, against their SLAs. This role … knowledge management, and workflow automation. Architect advanced retrieval using RAG, Agentic RAG, Graph RAG, knowledge-graph, and hybrid approaches. Design multi-agent systems with modern orchestration and reasoning architectures, including human-in-the-loop and autonomous frameworks. Define memory, context, planning ...

metrics. This role requires strong technical expertise across Generative and Agentic AI—including LLMs, retrieval-augmented generation (RAG), autonomous and multi-agent systems, and modern interoperability standards such as the Model Context Protocol (MCP)—coupled with excellent communication skills to engage … Claude, GPT, Gemini) and open‐source solutions (Llama, Mistral). Agentic AI & Orchestration : Hands‐on experience designing autonomous and multi‐agent systems that reason, plan, and act using tools. Familiarity with agentic design patterns (ReAct, planning, reflection, human‐in‐the‐loop ...

solution design. Agentic AI & Multi‐Agent Architecture – design of autonomous and multi‐agent systems, agentic design patterns (ReAct, planning, reflection, tool use, human‐in‐the‐loop), and frameworks (LangGraph, CrewAI, MAF, OpenAI Agents ...

clients. What you'll be doing: Designing end-to-end AI and LLM solution architectures Building scalable Agentic AI and multi-agent systems using frameworks such as LangGraph, AutoGen or Semantic Kernel Defining LLM integration strategies, including RAG, prompt engineering, fine … solutions We're looking for experience with: AI Architecture or AI Engineering Large Language Models (LLMs) & Generative AI Agentic AI & Multi-Agent Architectures Python & modern software engineering practices Cloud platforms (Azure, AWS or GCP) MLOps/LLMOps, CI/CD and model ...

platform architectures. Working within an agile team, you will bridge advanced LLM capabilities with enterprise systems to deploy scalable, multi-agent workflows. Your Impact Agentic Innovation: Build multi-agent systems and stateful … workflows using Google ADK, LangChain, or LangGraph. System Guardrails: Implement fallback logic, circuit breakers, and structured outputs via Pydantic to maintain safety and control hallucinations. API Delivery: Securely design Python-based APIs and microservices optimized for LLM tool calling. Observability: Establish automated prompt testing, token optimization, and system ...

testing and debugging, while learning from top technologists through design sessions and peer code reviews. Furthermore, you'll benefit from a comprehensive support system: you'll join a cohort of new hires, embarking on a shared journey to master our company culture, tools, processes, and the technical proficiencies … house Gemini) Large Language Models (LLMs): Gemini, OpenAI, Claude, Llama, Local Models Frameworks: LangChain, LlamaIndex, Hugging Face Orchestration: LangGraph, Multi-Agent Systems Development Languages: Java, PythonFastAPI Retrieval-Augmented Generation (RAG): PostgreSQL, Vector DBs, Advanced Retrieval ML/DL Frameworks: PyTorch, TensorFlow ...

stakeholder management skills. Bonus/Good to Have Enterprise AI: Experience implementing enterprise AI platforms, intelligent automation, AI copilots, multi‐agent systems, or AI workflow orchestration. Industry Consulting: Experience working with customers across financial services, healthcare, manufacturing, retail, public sector ...

clients, with a proven track record of taking AI use cases from concept to production Strong understanding of AI agents, multi-agent systems, LLM orchestration, agent frameworks, RAG, MCP, AI governance, observability, and production-grade AI architectures ...

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. ...

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 ...