At a Glance
- 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 remote work options.
- Other info: Dynamic role with opportunities for professional growth and innovation.
- Why this job: Shape the future of engineering with cutting-edge AI technologies.
- Qualifications: Expertise in AI, AWS, and strong leadership skills required.
The predicted salary is between 130000 - 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 employer: Cloud Bridge
Our client is an exceptional employer, offering a dynamic work environment in the heart of London, where innovation meets collaboration. With a strong focus on employee growth, they provide ample opportunities for professional development and mentorship, alongside competitive compensation packages that include bonuses. The company fosters a culture of inclusivity and creativity, making it an ideal place for those looking to make a meaningful impact in the financial services sector through cutting-edge AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land AI Augmented Engineering Lead - Up to £130k + Bonus
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI or engineering. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with projects that highlight your expertise in AI technologies and AWS. This gives potential employers a tangible look at what you can do.
✨Ace the Interview
Prepare for interviews by brushing up on common questions related to AI and DevSecOps. Practice explaining complex concepts in simple terms, as communication is key. And remember, it’s not just about answering questions; ask insightful ones too!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It streamlines the process and ensures your application gets the attention it deserves. Plus, we love seeing passionate candidates like you!
We think you need these skills to ace AI Augmented Engineering Lead - Up to £130k + Bonus
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 DevSecOps practices to catch our eye!
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 and how your background makes you the perfect fit for this role at StudySmarter.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Share specific examples of how you've implemented AI-driven solutions or optimised CI/CD pipelines. We love seeing real-world applications of your skills!
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 the role. 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 tools 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 specific projects where you've designed or optimised infrastructure solutions, and don't forget to mention your familiarity with cloud automation and security best practices.
✨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 foster collaboration within cross-functional teams and how you’ve driven successful outcomes.
✨Prepare for Technical Questions
Expect to face technical questions related to CI/CD pipelines, containerization technologies, and troubleshooting complex cloud environments. Brush up on your knowledge of tools like Docker, Kubernetes, and monitoring solutions like Grafana or CloudWatch to impress your interviewers.
