At a Glance
- Tasks: Design and develop AI-powered applications and cloud-native solutions in Azure.
- Company: Join a growing tech consultancy focused on innovative AI and cloud transformations.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI and cloud technology, making a real impact.
- Qualifications: Experience in AI, cloud, or software engineering with strong problem-solving skills.
The predicted salary is between 70000 - 100000 £ per year.
You must hold active and transferable SC Clearance to be considered for this position. Unfortunately, candidates without active SC Clearance cannot be considered.
About the Role
We are partnering with a growing technology consultancy delivering innovative AI and cloud transformation programmes across a range of secure and enterprise environments.
We're seeking a Senior Cloud Engineer to join a multidisciplinary AI delivery team responsible for designing, building and deploying AI-powered solutions within Microsoft Azure.
This position would suit experienced engineers from backgrounds including AI Engineering, Cloud Engineering, Software Development, Data Engineering or Platform Engineering who enjoy working across modern AI and cloud technologies.
Working within Agile delivery teams, you'll help create intelligent applications, automation solutions, knowledge retrieval platforms and cloud-native services that deliver meaningful business outcomes.
Key Responsibilities
- Design and develop AI-powered applications and cloud-native solutions.
- Build intelligent assistants, automation services and AI-enabled workflows.
- Develop knowledge management, search and retrieval capabilities.
- Create secure, scalable and well-architected applications in Azure.
- Integrate cloud solutions with enterprise systems, APIs and data sources.
- Implement governance, security and operational best practices.
- Support testing, deployment and optimisation of AI solutions.
- Collaborate with architects, analysts, engineers and stakeholders to deliver successful outcomes.
- Contribute to technical design, solution architecture and continuous improvement initiatives.
- Required Skills & Experience
• Strong experience in at least one of the following areas
- AI and Generative AI engineering
- Data engineering and retrieval platforms
- Cloud-native software engineering
- Enterprise integration and platform engineering
- Experience working with Microsoft Azure cloud technologies.
- Strong technical design and problem-solving capabilities.
- Experience working within Agile delivery environments.
- Excellent communication and stakeholder management skills.
- Experience delivering secure, scalable and maintainable solutions.
- Collaborative approach to multidisciplinary delivery teams.
- Active and transferable UK SC Clearance.
- Experience with Generative AI and Large Language Models (LLMs).
- Knowledge of Retrieval-Augmented Generation (RAG) architectures.
- Experience with vector search, semantic retrieval or knowledge platforms.
- Experience developing AI assistants, agents or intelligent workflows.
- React and Type Script development experience.
- Experience building and consuming APIs.
- Knowledge of CI/CD pipelines, Dev Ops and infrastructure automation.
- Experience working within secure, regulated or government environments.
- Personal Attributes
- Strong analytical and problem-solving abilities.
- Passion for emerging technologies, AI and cloud innovation.
- Excellent communication and stakeholder engagement skills.
- Self-motivated with a proactive approach to learning.
- Ability to work effectively within cross-functional teams.
- Strong attention to detail and commitment to quality.
- Collaborative mindset with willingness to share knowledge and mentor others.
- Comfortable working in fast-paced Agile environments.
- #J-18808-Ljbffr
Azure AI Cloud Engineer employer: TrueNorth®
TrueNorth® is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the financial markets intelligence sector. With flexible remote or hybrid working options available in London, employees benefit from a supportive environment that prioritises professional growth and collaboration, alongside opportunities to develop cutting-edge quantitative capabilities. Join us to be part of a forward-thinking team where your expertise in Python and quantitative research will be valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Azure AI Cloud Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at TrueNorth® or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to TrueNorth®.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like TrueNorth®.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like TrueNorth® that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Azure AI Cloud Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at TrueNorth®.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at TrueNorth® and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at TrueNorth®
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If TrueNorth® uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
