At a Glance
- Tasks: Design and build enterprise AI platforms using Azure and Generative AI technologies.
- Company: Join a forward-thinking tech company in London with a hybrid work culture.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in an innovative and secure environment.
- Why this job: Make a real impact by turning AI concepts into scalable solutions.
- Qualifications: Experience with Azure AI services and Generative AI is essential.
The predicted salary is between 60000 - 80000 £ per year.
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.
AI Engineer - Azure and Generative AI. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
Join a forward-thinking company that prioritises innovation and collaboration, offering AI Engineers the chance to work with cutting-edge Generative AI technologies in a hybrid environment in London. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to make a meaningful impact by turning concepts into scalable solutions. The supportive work culture fosters teamwork and promotes responsible AI practices, making it an excellent place for professionals eager to advance their careers.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Azure and Generative AI. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure and Generative AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and Azure, and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come in.
We think you need these skills to ace AI Engineer - Azure and Generative AI. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with Azure AI services and Generative AI, as these are key for us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit. Be specific about your hands-on expertise with technologies like Terraform and MLOps.
Showcase Collaboration Skills:Since we value teamwork, mention any past experiences where you collaborated with developers or data scientists. This will show us you can work well in cross-functional teams.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure AI services, especially Azure OpenAI and Azure ML. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Generative AI Expertise
Prepare to talk about your hands-on experience with Generative AI and RAG architectures. Think of specific examples where you've implemented these solutions, and be ready to explain the impact they had on the projects you worked on.
✨Demonstrate CI/CD and MLOps Knowledge
Since the role involves building secure CI/CD and MLOps pipelines, be prepared to discuss your experience with these processes. Highlight any tools or frameworks you've used, like Terraform, and how you've ensured security and compliance in your deployments.
✨Communicate Effectively with Stakeholders
Strong communication skills are key for this role. Practice explaining complex AI concepts in simple terms, as you'll need to collaborate with developers, data scientists, and business stakeholders. Show that you can bridge the gap between technical and non-technical teams.
