At a Glance
- Tasks: Design and build enterprise AI solutions using Azure technologies.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a dynamic, innovation-driven environment.
- Why this job: Make a real impact by transforming AI concepts into scalable solutions.
- Qualifications: Experience with Azure AI services and Generative AI technologies.
The predicted salary is between 70000 - 90000 £ 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.
GenAI Architect: Azure, MLOps & Enterprise AI (Hybrid) employer: Vivo Talent
Join a forward-thinking company that prioritises innovation and collaboration, offering a dynamic work culture where your contributions directly impact enterprise AI solutions. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a hybrid environment in London. Enjoy the benefits of a supportive team atmosphere, competitive remuneration, and the ability to shape the future of AI within a secure and responsible framework.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Architect: Azure, MLOps & Enterprise AI (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and Azure space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Generative AI and Azure. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Azure AI services and MLOps pipelines. Practice common interview questions and think about how your experience aligns with the role. Confidence is key, so get ready to shine!
✨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, applying directly can sometimes give you a leg up in the hiring process. Let’s get you that dream job!
We think you need these skills to ace GenAI Architect: Azure, MLOps & Enterprise AI (Hybrid)
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 experience with MLOps and CI/CD pipelines.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Share examples of how you've built or supported AI solutions, especially in Azure environments. We love seeing real-world applications.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Vivo Talent
✨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 MLOps Skills
Prepare to talk about your experience with CI/CD, LLMOps, and MLOps pipelines. Have specific examples ready that demonstrate your ability to build and manage these pipelines effectively, and be prepared to explain the impact they had on your previous projects.
✨Collaboration is Key
Since this role involves working closely with developers, data scientists, and business stakeholders, think of examples where you've successfully collaborated with cross-functional teams. Highlight your communication skills and how you ensure everyone is on the same page.
✨Emphasise Responsible AI Practices
Be ready to discuss how you promote Responsible AI and data security in your work. Share any experiences where you've implemented best practices in governance and security, and how you ensure compliance across AI initiatives.
