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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: Earn up to £130k plus bonuses, with flexible working arrangements.
- Why this job: Shape the future of engineering with cutting-edge AI technologies.
- Qualifications: Expertise in AI, AWS, and strong leadership skills required.
- Other info: Collaborative environment with opportunities for professional growth.
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 London 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI and engineering. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by researching the company’s use of AI and DevSecOps. Tailor your answers to show how your experience aligns with their needs and goals.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Augmented Engineering Lead - Up to £130k + Bonus in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI technologies, AWS, and DevSecOps practices to show us you're the right fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and engineering. Share specific examples of how you've integrated AI solutions in past projects, and how you can bring that experience to our team.
Showcase Your Technical Skills: Don’t shy away from listing your technical proficiencies! Mention your hands-on experience with tools like CDK, Terraform, and your programming skills in Python or JavaScript. We want to see what you can bring to the table!
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 don’t miss out on any important updates during the process!
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, as well as any hands-on experience with Large Language Models. This will show that you're not just familiar with the concepts but can apply them effectively.
✨Showcase Your AWS Expertise
Since this role heavily involves AWS, be prepared to talk about your experience with cloud automation, security best practices, and architectural design. Highlight specific projects where you've designed or optimised AWS-based infrastructure solutions, and be ready to discuss the impact of your work using clear metrics.
✨Demonstrate Leadership Skills
This position requires strong leadership capabilities, so think of examples where you've led technical projects or mentored team members. Share how you’ve fostered collaboration within cross-functional teams, especially when integrating AI solutions into existing systems.
✨Prepare for Technical Questions
Expect to dive deep into DevOps methodologies, CI/CD pipelines, and containerisation technologies. Brush up on your knowledge of tools like Docker and Kubernetes, and be ready to troubleshoot complex cloud-based environments. Practising common technical interview questions can help you feel more confident.