At a Glance
- Tasks: Lead the integration of AI into real-world software systems and modernise legacy platforms.
- Company: Innovative tech firm at the forefront of AI and software development.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team focused on cutting-edge technology and career advancement.
- Why this job: Shape the future of AI in production systems and make a tangible impact.
- Qualifications: Strong software engineering and DevOps leadership experience with APIs and microservices.
The predicted salary is between 80000 - 100000 £ per year.
Build the systems that make AI work in the real world. We’re hiring a Lead AI‑Enabled Software / DevOps Engineer for a hands‑on technical leadership role shaping how AI integrates into modern software platforms. This isn’t experimentation — it’s about embedding AI into real, production systems that are secure, reliable, and built to last.
Why this role? You’ll sit at the intersection of software engineering, DevOps, and AI — modernising legacy systems and enabling API‑first, integration‑led architectures.
What you’ll do:
- Lead the evolution of systems toward API‑driven, service‑based architectures
- Define how applications integrate with AI platforms and services
- Guide architecture, integration patterns, and platform design
- Ensure systems are secure, scalable, and production‑ready
- Work across engineering, data, and platform teams
What you’ll bring:
- Strong background in software engineering / DevOps leadership
- Experience with APIs, microservices, and system design
- Proven ability to modernise legacy systems
- Solid skills in TypeScript and Python
- Pragmatic, outcome‑focused approach with strong technical judgement
If you enjoy shaping how AI fits into real systems — not just building models — apply now.
Lead AI Enabled Software/DevOps Engineer employer: Lorien
As a Lead AI-Enabled Software/DevOps Engineer, you will thrive in a dynamic work culture that prioritises innovation and collaboration, allowing you to make a tangible impact on the integration of AI into production systems. Our commitment to employee growth is evident through continuous learning opportunities and hands-on leadership roles, all within a supportive environment that values your contributions. Located in a vibrant tech hub, we offer unique advantages such as access to cutting-edge resources and a network of like-minded professionals dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Enabled Software/DevOps Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 AI, APIs, and DevOps. This gives potential employers a taste of what you can do and sets 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 software engineering and DevOps, and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you a better chance of getting noticed.
We think you need these skills to ace Lead AI Enabled Software/DevOps Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead AI-Enabled Software/DevOps Engineer role. Highlight your background in software engineering, DevOps leadership, and any experience with APIs and microservices.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about integrating AI into real-world systems. Share specific examples of how you've modernised legacy systems or led technical projects that resonate with our mission.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in TypeScript and Python! We want to see how you’ve applied these skills in past projects, especially in relation to building secure and scalable systems.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Lorien
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript and Python, as these are key skills for the role. Brush up on your knowledge of APIs and microservices, and be ready to discuss how you've used them in past projects.
✨Showcase Your Leadership Skills
This role is all about technical leadership, so prepare examples that highlight your experience in guiding teams and making architectural decisions. Think about times when you’ve led a project or mentored others in software engineering or DevOps.
✨Understand AI Integration
Since the role focuses on embedding AI into production systems, be prepared to discuss how you would approach integrating AI platforms with existing architectures. Have some ideas ready on modernising legacy systems and ensuring they are secure and scalable.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current systems, their approach to AI integration, and how they envision the future of their software platforms. This shows your genuine interest and helps you assess if it’s the right fit for you.
