At a Glance
- Tasks: Design and build enterprise AI platforms using Azure technologies.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a dynamic, 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.
- 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 employer: Vivo Talent Solutions
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 focus on employee growth, you will have access to continuous learning opportunities and the chance to make a meaningful impact by turning AI concepts into scalable solutions. The supportive work culture fosters teamwork and encourages responsible AI practices, making it an excellent place for professionals looking to advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 engineering and be ready to discuss your experience with Azure technologies and CI/CD pipelines.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure AI services and Generative AI. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Collaboration Skills:Since this role involves working closely with developers and data scientists, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to know how you can fit into our culture!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing talent out there!
How to prepare for a job interview at Vivo Talent Solutions
✨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. Have specific examples ready that demonstrate your ability to design and deploy intelligent agent solutions, as this will show your practical understanding of the role.
✨Highlight Collaboration Skills
Since you'll be working closely with developers, data scientists, and business stakeholders, it's crucial to showcase your communication and collaboration skills. Think of instances where you successfully worked in cross-functional teams and how you contributed to delivering scalable AI solutions.
✨Emphasise Responsible AI Practices
Be prepared to discuss your approach to promoting Responsible AI and data security. Share any experiences you have with governance in AI initiatives, as this is a key aspect of the role and shows your commitment to ethical AI development.
