AI Engineer

AI Engineer / Azure / Generative AI / Permanent / London / Hybrid

Vivo Talent are looking for an experienced AI Engineer to join our client and design, build and support enterprise AI platforms and solutions within a modern Azure environment.

You’ll be collaborating closely with developers, data scientists and business stakeholders to turn AI proof‑of‑concepts into secure, scalable production solutions.

It is a great opportunity for someone looking to take concepts to solutions and make valuable impact.

Key Responsibilities

• Build and maintain AI infrastructure using Microsoft Azure technologies including Azure AI Foundry, Azure OpenAI, Azure ML and Copilot Studio.
• Develop and manage CI/CD, LLMOps, and MLOps pipelines for Generative AI applications.
• Design and deploy GenAI, RAG and intelligent agent solutions across enterprise systems.
• Implement Infrastructure as Code (Terraform) and secure cloud environments following best practices.
• Support AI experimentation, model fine‑tuning, prompt evaluation and production deployment.
• Monitor AI performance, token usage, cost optimisation, reliability and security.
• Collaborate with cross‑functional teams to deliver scalable and compliant AI solutions.
• Promote Responsible AI, governance, and data security across all AI initiatives.

Required Experience

• Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering.
• Hands‑on expertise with Generative AI, RAG architectures, NLP and agentic workflows.
• Experience building secure CI/CD, LLMOps, and MLOps pipelines.
• Knowledge of Terraform, cloud security, APIs, and enterprise integrations.
• Familiarity with frameworks such as LangChain or Semantic Kernel.
• Strong stakeholder communication and cross‑functional collaboration skills.

This is an exciting opportunity to help shape and scale enterprise AI capabilities while working with cutting‑edge Generative AI technologies in a secure, innovation‑driven environment.

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