At a Glance
- Tasks: Lead AI integration in modern software platforms and guide engineering teams.
- Company: Join a forward-thinking tech company at the forefront of AI and DevOps.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and practical solutions.
- Why this job: Make a real impact by shaping the future of AI-enabled software systems.
- Qualifications: Strong background in software engineering and experience with API-driven systems.
The predicted salary is between 80000 - 100000 £ per year.
Technical leadership at the intersection of software, platforms, and AI. We’re seeking a Lead AI-Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is embedded into real, production-grade software systems. This is not a traditional people-management role. Instead, you’ll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet, and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact.
What you’ll be doing
- Your focus will be on enabling AI within modern, API-first software platforms, particularly where legacy or existing systems need to evolve to support new capabilities safely and effectively.
- Provide technical leadership across AI-enabled software and DevOps engineering teams.
- Set architectural direction for API-first design, system integration, and platform enablement for AI.
- Lead the modernization of legacy or existing applications toward service-based, API-driven architectures.
- Define and guide integration patterns between applications, platforms, and AI services.
- Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted.
- Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions.
- Ensure solutions meet standards for security, resilience, performance, and operability.
- Anticipate and manage architectural and operational risks associated with AI-enabled systems.
- Champion strong engineering practices across software development, DevOps, and platform engineering.
- Lead by example in complex environments where production reliability matters.
This is delivery-focused leadership, not experimentation for its own sake.
What we’re looking for
- We’re looking for someone who combines senior technical credibility with the confidence to guide others and shape direction.
Essential experience
- Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on leadership role.
- Excellent software engineering fundamentals: system design, clean code, testing, and long-term maintainability.
- Deep experience designing and delivering API-driven and microservice-based systems.
- Proven ability to modernise or integrate legacy systems into modern platforms.
- Solid development experience in TypeScript and Python.
- Experience spanning software delivery, CI/CD, infrastructure, and operations.
- Comfortable setting direction and influencing teams without relying on formal authority.
- Able to balance innovation with pragmatism in production environments.
Desirable experience
- Integrating software systems with AI platforms or AI-enabled services.
- Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol).
- Platform engineering or DevOps at scale.
- Experience working in regulated or security-conscious environments.
- Defining technical standards or architectural direction across multiple teams.
You’ll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now!
Lead AI-Enabled DevOps Engineer. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
At our London-based company, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. As a Lead AI-Enabled DevOps Engineer, you will not only have the opportunity to shape cutting-edge AI integration within software systems but also benefit from a supportive environment that prioritises professional growth and development. With a focus on strong engineering practices and a commitment to delivering impactful solutions, we offer a unique chance to make a real difference in the tech landscape while working alongside talented professionals who share your passion for excellence.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI-Enabled DevOps Engineer. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Lead AI-Enabled DevOps Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and DevOps. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly, as you'll need to demonstrate your ability to lead and influence teams without formal authority.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead AI-Enabled DevOps Engineer. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead AI-Enabled DevOps Engineer role. Highlight your technical leadership, API-driven systems experience, and any work with AI integration to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for this role. Share specific examples of how you've led teams or modernised legacy systems, and don’t forget to show your passion for AI and DevOps!
Showcase Your Technical Skills:In your application, be sure to mention your proficiency in TypeScript and Python, as well as your experience with CI/CD and infrastructure. We want to see how your technical depth can contribute to our projects!
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 to lead in AI-enabled DevOps!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially TypeScript, Python, and API-driven systems. Brush up on your software engineering fundamentals, as you’ll likely be asked to demonstrate your understanding of system design and clean code principles.
✨Showcase Your Leadership Style
Since this role focuses on technical leadership rather than traditional management, be prepared to discuss how you’ve guided teams through complex projects. Share specific examples where your architectural judgement and delivery experience made a difference in integrating AI into existing systems.
✨Prepare for Pragmatic Problem-Solving
Expect questions that assess your ability to balance innovation with pragmatism. Think of scenarios where you had to make tough decisions about adopting new technologies or integration patterns, and be ready to explain your thought process and the outcomes.
✨Understand the Bigger Picture
Familiarise yourself with the company’s mission and how they integrate AI into their platforms. Be ready to discuss how your vision aligns with theirs and how you can contribute to building secure, operable, and genuinely useful systems that meet their standards.
