301 to 325 of 1,832 AI Agents Jobs in London

committed to learning alongside our customers. We want to ensure our intelligence is the reliable foundation for the next generation of AI Agents and decision-engines, evolving our delivery to match the architectures our customers are heading towards. About the team: Part of a growing Solutions Engineering … Forward & Inquisitive: You have a practical understanding of modern AI ecosystems and are comfortable discussing concepts such as LLMs, AI Agents, and retrieval-based architectures with customers. You are interested in how data is consumed by AI-driven workflows and enjoy exploring emerging ...

AI Engineering Manager, London/Glasgow Support with the design and drive the delivery of the agentic AI strategy. Lead the design and delivery of scalable AI systems across Azure, including multi-agent orchestration platforms and LLM-powered applications. Own end-to-end engineering … modern AI patterns including RAG, agent orchestration, and event-driven workflows. Ensure production readiness through observability, resilience engineering, and cost optimisation. Agentic AI & Orchestration Oversee development of multi-agent systems using frameworks such as Semantic Kernel and AI Foundry. Implement deterministic orchestration patterns, context ...

best practicesIdentify successful patterns and develop practical playbooks, frameworks, and guidance that strengthen product management capability across the organization and our client base. AI-Powered Product EnablementLeverage AI to enhance product practicesHelp product teams apply AI capabilities across product discovery, customer insight generation, roadmap … customer feedback synthesis, requirements generation, roadmap creation, prioritization analysis, executive reporting, and product reviews. Prototype lightweight product-focused agentsDevelop targeted AI agents that improve product team productivity and decision quality, including portfolio reporting, market analysis, stakeholder updates, dependency tracking, and product documentation. Enable responsible AI ...

ideas from discovery and rapid prototyping through to production-ready implementation and ongoing support. You will design and develop AI-enabled applications, agents, workflow automations and integrations, working with enterprise systems, APIs and organisational data. You will build solutions that are scalable, secure, supportable, and appropriate … other technology specialists. You’ll have a strong understanding of automation and emerging AI technologies, including generative AI, agentic AI and AI orchestration, together with experience integrating solutions through APIs and enterprise applications. Hands‐on experience developing AI, automation ...

governance. Role & Responsibilities AI-Driven Collaboration & Automation Architect and deploy Microsoft 365 collaboration solutions, integrating Copilot and AI agents for enhanced productivity and knowledge management. Lead migration projects from legacy platforms to Microsoft 365 and SharePoint Online, ensuring seamless adoption of AI-powered … workflows and automation (Power Apps, Power Automate, Power BI). Design and implement advanced SharePoint Online sites, custom solutions, and scoped agents that serve as subject matter experts for organizational knowledge. Security, Compliance & Governance Configure and maintain Microsoft Purview for data protection, risk management, and compliance across Microsoft ...

year and is hybrid, requiring 3 days per week onsite in London. You'll be responsible for: Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation … Catalog, DLT and MLflow. Deep knowledge of Large Language Models including GPT, Llama, Claude and Mistral. Experience building and deploying GenAI, RAG and Agentic AI solutions in enterprise environments. Strong programming skills in Python, SQL and/or Scala. Experience with Azure cloud technologies including Azure OpenAI ...

Lead AI Engineer London (Hybrid) | Up to £110,000 + 15% Bonus + Excellent BenefitsThis is an opportunity to join a business investing heavily in AI and automation, where you will play a key role in shaping and delivering production-grade Generative AI solutions … AI solutions from concept through to production.Responsibilities include:* Leading the end-to-end delivery of Generative AI and agentic AI solutions * Designing and building LLM-powered applications and intelligent automation tools * Making key architecture, tooling, and platform decisions across multiple initiatives * Evaluating build versus ...

business stakeholders to identify and shape high-value Copilot and AI use cases Assess whether Microsoft Copilot, Copilot Studio, AI Agents, Microsoft Graph Connectors, Power Platform or other technologies are the right solution Translate business requirements into practical technical solutions and delivery plans Build prototypes … business value and are supportable at scale What we're looking for: Strong hands-on experience with Microsoft Copilot, Copilot Studio, AI Agents and the Microsoft 365 ecosystem, combined with experience delivering AI-enabled or automation solutions in an enterprise environment. You'll need strong ...

Sector Technology team. This hands-on role focuses on building evaluation frameworks, tooling and harnesses for AI systems, particularly LLM and agentic AI solutions. The role requires ownership, experimentation and rapid delivery. Key Responsibilities Design evaluation frameworks and tooling Develop evaluation harnesses Evaluate model and agentic … strategic direction. What We Are Looking For Strong software engineering experience Experience building and evaluating AI systems Understanding of LLMs and agentic AI Experience with AI evaluation frameworks Ability to code independently Strong problem-solving and communication skills Comfortable working autonomously. Technical Experience AI ...

architecture, engineering, scalability, and deployment. Design and build AI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI approaches. Remain hands-on with development, contributing to Python code, architecture reviews, and technical problem-solving. Drive best practices across MLOps, testing, deployment, monitoring … ability to translate technical concepts into business outcomes. Strong project delivery and prioritisation skills within fast-paced environments. Desirable Experience building AI agents and orchestration workflows. Insurance or financial services experience. Knowledge of responsible AI, model governance, explainability, and bias mitigation. ...

Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Building AI agents that can assist with any kind of enterprise work is a challenging, open-ended problem. One key piece of solving it is replicating real … data, and defining clear rewards for completing the work the right way. We build many of these reinforcement learning (RL) environments, then drop our agents into them to evaluate or train them. In this role, you are responsible for creating these RL environments, running AI agents ...

data lakes to dynamic Vector Databases and Retrieval‐Augmented Generation (RAG) architectures. Agentic Development: Build production‐grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches … clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost‐optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock ...

measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound — typically 12 weeks or less — and may span … Commit → Deploy → Consume — owning outcomes at every stage, not just discovery or deal closure* AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI ...

Kiro/Claude as daily development tools not just prompting, but leveraging AI to accelerate pipeline development, data analysis, and automation Skills & agents: Hands-on experience building AI skills and agents within the Amazon internal ecosystem (AIM, MCP integrations), or a strong desire … Features: Familiarity with surfacing data insights through AI-powered experiences and understanding how these tools augment BI workflows AgentCore/Strands Agents: Exposure to agentic architectures is a strong plus understanding how to orchestrate AI agents for complex data workflows Builder mentality ...

innovation Lead the approach to AI across Digital Assurance Identify practical applications of generative AI, machine learning and agentic AI Translate concepts into repeatable, commercially viable services and accelerators Shape approaches for testing, validating and monitoring AI systems Encourage disciplined experimentation that … establish a clear technical vision and bring people with them AI Assurance, Responsible AI or AI governance Agentic AI or autonomous software engineering approaches AI/ML model validation and testing AI governance frameworks such as ISO/ ...

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 … experience but primary languages include: TypeScript and the JavaScript ecosystem, Python and Java). Hands‐on experience building and deploying AI agents or multi‐agent systems. Working familiarity with enterprise IT architecture, cloud platforms (AWS, Azure, GCP), and system integration patterns. Consulting & Client Skills High agency; comfortable ...

AI Engineer | £ | Hybrid Build the AI systems our users actually experience. We're looking for a dynamic AI Engineer (5+ years) to design, build, and deploy autonomous, user-facing AI solutions - LLM-powered applications, agentic workflows, and intelligent systems that perform reliably … design experience Hands-on experience with LangChain, LangGraph, and LLM APIs (OpenAI, Anthropic, etc.) Skilled in prompt engineering and orchestrating AI agents/chatbots Familiarity with cloud AI services (Azure preferred), Docker/Kubernetes, CI/CD, and monitoring Strong debugging, collaboration, and continuous-learning ...

central to GlobalData’s strategy to evolve from a platform business into an embedded intelligence layer, powering client pipelines, AI agents and decision-making systems with structured pharma data. The role… We are creating this role to lead the commercial and technical evolution of DDS as AI … Snowflake. Feed what you learn in client conversations back into how we shape the data and the roadmap. Understand how AI agents consume our data, and where that breaks, so we can improve it. Commercial contribution Shape AI-focused commercial offerings, pricing approaches and proposals ...

looking for an experienced Agentic AI Engineer to join a pioneering team building next-generation AI solutions. You'll work on cutting-edge projects involving LLMs, Neo4j, Knowledge Graphs, GraphRAG, and AI Agents , helping unlock greater context, reasoning, and automation from their data. … Responsibilities: Design and develop Agentic AI applications and workflows Build and optimise Knowledge Graphs using Neo4j Develop GraphRAG and semantic search solutions Integrate LLMs with enterprise data sources Work closely with engineering and data teams to deliver production-ready AI systems Required Skills: Strong Python development ...

their lives. You can read more about who we are and how we work here. The role We're building AI agents that act as a doctor for preventive health — analyzing 110+ biomarkers, reasoning over clinical data, and delivering protocols that change how people age. The system … need to make it smarter, faster, and ready for millions of users. As our AI Engineer, you own the reasoning engine: the agents, the retrieval pipelines, the clinical workflows, and the infrastructure that makes it all reliable in production. You work directly with our medical team ...

Forward Deployed Engineer - Public sector, Non-profit and Education Salesforce is hiring Forward Deployed Engineers — experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist (Strategic Builder … mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself. Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months — spanning Agentforce, data, platform ...

with genuine technical depth. Key Responsibilities Design and deliver hands‐on technical workshops for Tech teams – participants build and ship working AI agents themselves. Coach engineers and domain experts through identifying real use cases, scoping them rigorously, and building their first working solutions on KAIT. Success … DevOps) with a subsequent move into enablement, consultancy, or internal transformation. Proven experience coaching technical teams to build and deploy AI agents or RAG pipelines in production. Hands‐on with at least one low‐code/no‐code automation platform (e.g., n8n). Strong prompt engineering knowledge ...

built for every type of service, in any industry, across any channel. Powered by Agentforce, it is the only platform where AI agents and human service representatives work together in real time to resolve issues faster, personalise every interaction, and deliver support across every channel—including customer … service—to unify service delivery on a single intelligent platform. With the industry's fastest-growing AI adoption rate, agentic AI use in service grew from 39% to 66% in a single year. Agentforce Service equips businesses to meet customers where they are—across voice, digital ...

vision and implementation of our next-generation AI-powered Production Intelligence platform. You will combine Site Reliability Engineering practices with modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM tooling) to transform how engineering and leadership teams monitor, diagnose, and auto-remediate global SaaS … AI-assisted observability, automated incident response, and self-healing cloud infrastructure. Agentic Workflows & Tooling: Design and build production-grade AI agents, MCP tool integrations, and deterministic evaluation pipelines for automated operational decision support. Telemetry & Insights: Architect ingestion and correlation pipelines across distributed logs, metrics, OpenTelemetry ...

products Synthesize qualitative and quantitative insights into problem statements that identify root causes, not just symptoms Shape the next generation of agentic AI products: multi-step reasoning workflows, tool orchestration, and autonomous task completion for financial professionals Demonstrate a working understanding of the challenges specific to building with … way. You use generative AI tools as a natural part of how you work: prototyping ideas, conducting research, reviewing PRDs, and building agents or automated workflows to extend your own productivity. You are comfortable using coding assistants to get things done faster and are genuinely excited about ...