1 to 25 of 143 Permanent AI Agents Jobs in the North West

work with customers to understand their business processes, service challenges, operational pain points and customer journeys, then help shape how AI agents can support, automate or improve those workflows. You’ll sit between customers, Customer Success, Product and Engineering. Your job will be to turn messy business … problems into clear, structured requirements that can be delivered as effective AI‐powered agents, workflows, integrations, knowledge sources and customer experiences. You do not need to be a machine learning engineer or a software developer. However, you do need to demonstrate comfort working with AI ...

world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they … including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents ...

business value, feasibility and user needs, applying modern data and AI technologies to develop solutions such as Generative AI, Agentic AI, intelligent automation and advanced analytics. Help measure and demonstrate the impact of data and AI solutions through adoption, performance and business … delivery teams, with an understanding of product development principles including requirements, prioritisation, backlogs and iterative delivery. Interest in how Generative AI, Agentic AI and automation can transform business processes and decision-making. Data, AI & Intelligent Systems Expertise: Experience or strong interest ...

passion for delivering scalable, production-ready solutions. Key Responsibilities Design and develop AI-powered applications using GenAI , LLMs , NLP , and Agentic AI technologies. Build intelligent RAG (Retrieval-Augmented Generation) solutions leveraging Embeddings and Vector Databases . Develop and orchestrate AI Agents and Multi … Generative AI (GenAI) , Large Language Models (LLMs) , Natural Language Processing (NLP) Prompt Engineering , Context Engineering AI Agents , Agentic AI , Multi-Agent Systems LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure ...

three. We are hiring our first AI Go-to-Market Engineer to architect, deploy, train, and continuously optimize AI agents and automation across the entire revenue engine — from first touch to closed-won to expansion. This is not a "prompt engineering" role. This … stack (Salesforce, Marketo, Outreach, Qualified, Gong) so that data flows between systems without manual intervention, every customer touchpoint is captured, and AI agents share learnings in a virtuous loop with Salesforce as the hub. Build and maintain an AI-driven competitive intelligence engine that monitors ...

AI solutions across an Enterprise Knowledge Base (EKB). This is a hands-on role focused on GenAI, LLMs, RAG and Agentic AI, taking solutions from prototype through to production. You'll work across AI, data and engineering teams to build intelligent retrieval, knowledge … discovery and automation capabilities. Key Responsibilities Build production-grade GenAI, LLM, RAG and Agentic AI solutions Develop AI Agents and Multi-Agent Systems Work with LangChain, LangGraph and MCP Build intelligent retrieval using Embeddings, Vector Databases and Semantic Search Apply Prompt & Context Engineering Integrate AI ...

forefront of AI innovation. We're looking for a Senior AI Engineer to design, build and scale Agentic AI, Generative AI and Retrieval-Augmented Generation (RAG) solutions that power intelligent, customer-facing products used globally. Working closely with Product, Platform and Engineering … powered applications, helping shape the future of AI across the organisation. What You'll Do Design and deliver production-ready Agentic AI, Generative AI and RAG solutions. Build autonomous AI agents capable of reasoning, planning and executing complex workflows. Develop multi ...

champions engineering excellence through rigorous testing, code reviews, and operational best practices. As an AI‐first engineer, they leverage AI agents, agentic workflows, and AI‐assisted development tools to accelerate software delivery, automate engineering processes, and solve complex business challenges. The role requires … code. Champion software engineering excellence through testing, automation, documentation, and continuous improvement. AI-Native Software Development Build production‐grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies. Apply an AI‐first mindset to software development ...

offers an exciting opportunity to contribute to research within a dynamic and inclusive environment. The post holder will design and build AI agents and verification engines for the formal verification and automated testing of Ethereum consensus specifications, as part of the project Bounded Model Checking for Verifying … choice component Designing new bounded model checking techniques for verifying safety and reachability properties without manual abstraction of the specification Building AI agents that translate specification clauses into formal properties and drive the verification engine's search and triage of counterexamples Developing agentic workflows that ...

stakeholders. AI and Agentic System Security Assess the security risks associated with AI-enabled applications, LLM integrations, AI agents, autonomous workflows and model-connected business processes. Review AI system designs for risks such as prompt injection, excessive agency, data leakage, insecure … AI assurance. Familiarity with frameworks and guidance such as NIST AI RMF, OWASP Top 10 for LLM Applications, OWASP Agentic AI guidance, MITRE ATLAS, ISO 27001, NIST CSF, CIS Controls or cloud security frameworks. Experience with SOC operations, SIEM/SOAR platforms, detection engineering ...

supporting a leading technology consultancy that is expanding its AI practice and is looking for a Senior AI Engineering Consultant to help deliver innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the forefront of Generative AI … Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging AI frameworks What's On Offer? Opportunity to work on high-profile AI transformation projects Exposure to the latest ...

shape enterprise-wide transformation. You will lead client engagements from strategy through to execution that combine modern data platforms, semantic architectures and agentic AI solutions to deliver measurable business value, whilst contributing to the growth of our EDA Financial Services practice. YOUR ROLE This role … agentic workflows and intelligent decision platforms, with defined user needs, business outcomes and success metrics • Designing operating models that integrate people, AI agents and business processes - including role redesign, human-in-the-loop controls, and the change strategy that makes adoption stick • Partnering with business, product ...

fields, and the data contracts powering analytics and reporting across the product. In this role you will not write the code. AI agents will. You will own the specifications that govern these services, the agentic pipeline that turns those specifications into production software, and the verification machinery … with Data Platform and Analytics engineers, Support teams, and Product stakeholders — translating their needs into agent-executable specifications. Specs are our system of record; agents do the typing. What you'll be doing Agentic Delivery Deliver features across multi-tenant data platform services — data ingestion, schema management, effective dating ...

enabled transformation, reimagining business models, products, and operations through intelligent automation, and determining where AI augments human work versus where autonomous agents deliver end-to-end processes.* We build and scale AI capabilities, designing and implementing enterprise AI platforms, agent orchestration layers … life cycles.* Technical Knowledge - Hands-on or applied experience with:* Generative AI (LLMs, prompt engineering, RAG, copilots, multimodal AI)* Agentic AI (autonomous agents, multi-agent workflows, tool integration)* Broad strategic knowledge* Scaling AI Experience - Experience designing and implementing enterprise AI ...

applications using modern Microsoft and Azure technologies Build and improve RAG-based solutions, intelligent search and knowledge services Explore and develop AI agents capable of completing tasks and automating business processes Create prototypes and proof of concepts to assess new AI technologies and use cases … cloud-based technologies Knowledge of technologies such as Azure OpenAI, Microsoft Foundry, Semantic Kernel, RAG or vector databases Understanding of AI agents, LLMs and modern AI development approaches Strong software engineering fundamentals, including source control, testing and CI/CD Genuine interest in AI ...

needs evolve. In this role you will play a key role in: • Designing, building and deploying machine learning, generative AI and agentic AI solutions, turning business challenges into practical prototypes, products and scalable enterprise capabilities. • Developing applications and pipelines that connect AI models, enterprise … more areas including Data Science, Applied AI, Generative AI, AI Engineering, Machine Learning Engineering, Agentic AI, MLOps/LLMOps, AI Architecture or Data & AI Consulting. You are not expected to have expertise across every area, and the breadth ...

enabled workflow solutions**Solution Design & Architecture*** Design and support implementation of:* AI Control Tower (AI lifecycle management, governance, observability)* Agentic AI workflows enabling autonomous execution* Now Assist/GenAI use cases across workflows* Define data, integration, and workflow architectures for AI-enabled … following areas:* ServiceNow consulting and/or implementations* AI/GenAI/automation use cases* Conversational AI/virtual agents* Enterprise architecture, data, or integrationUnderstanding of:* AI governance and responsible AI principles* Workflow design and process automation**Consulting & Leadership Skills*** Strong ...

BACKEND ENGINEER – PYTHON/GCP/JAVA/NODE.JS/AI £750–£800 per day | Inside IR35 | 3-month initial contract | Manchester or Leeds | Hybrid THE DETAILS £750–£800 per day Inside IR35 Initial 3 months with likely extensions Manchester or Leeds 2 days per week on-site … Microservices/Kafka/PubSub/Event-Driven Architecture/AI/Generative AI/GenAI/AI Agents/Cloud Native/Kubernetes/Containers/CI/CD/Enterprise Integration/Enterprise Technology #J-18808-Ljbffr ...

ShortList Recruitment is working with one of the North West's leading employers to recruit an AI Engineer in Chester. This role focuses on AI, ML, or generative AI, taking concepts from proof of concepts to production, collaborating … with engineers and stakeholders. You will develop AI-powered applications using Azure technologies, build RAG-based solutions, and explore AI agents, with a salary up to £60,000 plus benefits and hybrid working near Chester. #J-18808-Ljbffr ...

Python as your primary development language, developing APIs, services and AI applications using technologies such as LLMs, RAG, AI agents and vector search. You'll work across the development lifecycle, helping take GenAI ideas and POC's through to robust, production-ready applications for enterprise … with PostgreSQL, MongoDB or similar databases Experience with CI/CD using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs ...

Python as your primary development language, developing APIs, services and AI applications using technologies such as LLMs, RAG, AI agents and vector search. You'll work across the development lifecycle, helping take GenAI ideas and POC's through to robust, production-ready applications for enterprise … with PostgreSQL, MongoDB or similar databases Experience with CI/CD using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs ...

take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager - Microsoft AI & Data Client Solutions Lead Location: London, UK (Hybrid) Level: Senior Manager Practice: AI & Data Shape the Future of AI with Microsoft … focussed AI and data programmes including Microsoft AI and Data solutions with a specific focus on architecting and building Agentic AI solutions using Microsoft Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Fabric, Power Platform ...

first dedicated AI engineering role. This permanent, full-time opportunity will see you take ownership of how we implement AI agents and automation across NRL, shaping the standards and solutions that define our future. This position is ideal for an experienced software engineer who thrives … from home, 1 day in the office (there could be some flexibility in this).**Responsibilities*** Design, develop and deliver secure AI agents, automation and system integrations.* Build Copilot Studio agents with controlled workflows, actions and governance.* Develop robust Power Automate flows using best practices ...

accelerate refactoring and reduce technical debt. Drive the shift from "developer-as-coder" to "developer-as-orchestrator," ensuring our teams effectively leverage agentic AI to manage complex workflows. Define the metrics for "AI-augmented productivity," focusing on how AI accelerates the software development lifecycle … Index: Measurable increase in adherence to group engineering standards and best practices using DORA metrics. AI Adoption Velocity: Adoption rate of agentic AI workflows across tribes and the measurable impact on code quality and review cycles. Quality & Security Velocity: Reduction in technical debt and successful integration ...

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 ...