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- Tasks: Lead the integration of AI solutions to enhance software development and delivery.
- Company: Join a leading financial services firm at the forefront of technology.
- Benefits: Up to £130k salary, bonus, and flexible working in London.
- Why this job: Shape the future of engineering with AI and make a real impact.
- Qualifications: Expertise in AI, AWS, and strong leadership skills required.
- Other info: Dynamic role with opportunities for growth and innovation.
The predicted salary is between 78000 - 130000 £ per year.
Our client, a leader in Financial Services, is looking for an AI-Augmented Engineering Lead who is responsible for integrating AI-driven solutions into engineering practices to improve developer productivity, software quality, and delivery velocity.
You will play a key part in advancing and scaling the organisation’s AWS-based DevSecOps platform, embedding AI-augmented capabilities across tooling, pipelines, and operational practices. This role operates at the intersection of engineering leadership, platform engineering, and applied AI, enabling teams to deliver secure, reliable software at scale.
Role Responsibilities
- Identify, evaluate, and implement AI-driven tools across the software development lifecycle, including coding assistance, automated testing, code quality, incident analysis, and operational insights.
- Define guardrails and standards for the secure and responsible use of AI in engineering.
- Design, implement, and optimize AWS-based infrastructure solutions that align with business requirements and industry best practices.
- Assess and communicate the impact of AI adoption using clear metrics (e.g. lead time, defect rates, pipeline efficiency, developer experience).
- Lead the evolution of a central DevSecOps platform, integrating AI-augmented capabilities into core services.
- Design and optimise CI/CD pipelines with embedded security, quality, and policy controls.
- Enhance observability and operational insight leveraging AI-assisted monitoring, alerting, and root cause analysis.
- Stay current with AWS services, AI tooling, and DevSecOps trends, translating emerging capabilities into practical solutions.
- Collaborate with cross-functional teams to integrate generative AI solutions into existing systems.
Key skillset
- Expertise in AI technologies including Generative AI and Machine Learning.
- Hands-on experience working with Large Language Models (LLMs).
- Extensive AWS expertise, including experience with cloud automation, security best practices, and architectural design.
- Expertise in AWS Bedrock and the Serverless ecosystem.
- Track record in the architecture and design of AI driven solutions in software engineering.
- Hands-on experience with CDK and Terraform for infrastructure automation.
- Experience with DevOps methodologies, SCM, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes).
- Strong experience with Python, React.js, and JavaScript.
- Familiarity in security and compliance in cloud.
- Excellent ability to troubleshoot complex cloud-based environments.
- Familiarity with monitoring and logging solutions such as Grafana, CloudWatch, Prometheus, or ELK Stack.
- Strong leadership capabilities, with experience leading technical projects and mentoring team members.
AI Augmented Engineering Lead - Up to £130k + Bonus in Coulsdon employer: Cloud Bridge
Contact Detail:
Cloud Bridge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Augmented Engineering Lead - Up to £130k + Bonus in Coulsdon
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI and engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thoughts clearly and confidently.
✨Tip Number 3
Showcase your skills through projects or contributions to open-source. We love seeing candidates who take initiative! This not only demonstrates your expertise but also gives you something tangible to discuss during interviews.
✨Tip Number 4
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace AI Augmented Engineering Lead - Up to £130k + Bonus in Coulsdon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Augmented Engineering Lead role. Highlight your expertise in AI technologies, AWS, and any relevant projects you've led. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about integrating AI into engineering practices. Share specific examples of how you've done this in the past, and let us know why you’re excited about this opportunity at StudySmarter.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Mention your hands-on experience with tools like CDK, Terraform, and your familiarity with DevOps methodologies. We love seeing candidates who can hit the ground running with their technical skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Cloud Bridge
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI technologies, especially Generative AI and Machine Learning. Be ready to discuss how you've implemented these in past projects and how they can enhance engineering practices.
✨Showcase Your AWS Expertise
Since this role heavily involves AWS, be prepared to talk about your hands-on experience with AWS services. Highlight any specific projects where you've designed or optimised infrastructure solutions, and be ready to discuss security best practices.
✨Demonstrate Leadership Skills
This position requires strong leadership capabilities. Think of examples where you've led technical projects or mentored team members. Be ready to explain how you foster collaboration and drive results within cross-functional teams.
✨Prepare for Technical Questions
Expect to face technical questions related to DevSecOps, CI/CD pipelines, and containerization technologies. Brush up on your knowledge of tools like Docker and Kubernetes, and be ready to discuss how you've used them to improve software delivery.