2 of 2 DemandTrendPermanent AI Agents Jobs in Bristol

permissions and business rules for the support platform 2. Knowledge Base & Self-Service Content Write and maintain user-facing documentation and FAQs Build structured knowledge libraries for both human agents and AI agents Create guided support flows for agents to follow Work with product, ops, and marketing to ensure accuracy and clarity Continuously expand and … media) Flag recurring issues and themes for Product, UX, and Sales teams 4. Customer Data & Tool Integration Integrate Zendesk with CRM (e.g. HubSpot) to surface contextual customer data Ensure agents can access customer type, plan, and product usage history Use tagging and fields to categorize issues by topic, severity, and user segment 5. Measurement & Quality Track KPIs such as … with Product/UX Support quality reviews of ticket handling tone and effectiveness 6. Team Support & Scaling Support the hiring, onboarding, and day-to-day coordination of initial support agents (1st and 2nd line, including technical support), or agency equivalents. Maintain internal SOPs and onboarding resources. Support agent performance reviews, coaching, and QA feedback. 7. Customer Feedback Loop Tag More ❯

deliver impact how and where it mattersmost . Connect to your opportunity As an AI Architect & Data Scientist, you will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep … learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark … a variety of tools and techniques. Proficient in programming languages such as Python and familiar with data science and AI libraries and frameworks. Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder More ❯