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For Companies At a Glance
- Tasks: Lead AI integration in engineering to boost productivity and software quality.
- Company: Join TP ICAP, a global leader in market infrastructure and innovation.
- Benefits: Enjoy competitive salary, hybrid work options, and professional growth opportunities.
- Other info: Inclusive culture that values diverse perspectives and encourages personal growth.
- Why this job: Make a real impact by advancing cloud and AI technologies in a forward-thinking environment.
- Qualifications: Expertise in AI, AWS, and software development; leadership skills are a plus.
The predicted salary is between 60000 - 80000 £ per year.
The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform. Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist.
Role Overview
The AI-Augmented Engineering Lead is responsible for integrating AI-driven solutions into engineering practices to improve developer productivity, software quality, and delivery velocity. The role plays a central 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. This is a fantastic opportunity to make a significant impact within a forward-thinking organisation, contributing to the evolution of our cloud and platform engineering capabilities. If you have a passion for cloud technology, AI and automation, we would love to hear from you!
Role Responsibilities
- AI-Enabled Engineering Practices
- 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, aligned with organisational security and compliance requirements.
- Assess and communicate the impact of AI adoption using clear metrics (e.g. lead time, defect rates, pipeline efficiency, developer experience).
- AWS-Centric DevSecOps Platform Leadership
- 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.
- Manage and evolve artifact and dependency management using Nexus Repository, ensuring secure, reliable, and scalable software supply chains.
- Enhance observability and operational insight leveraging AI-assisted monitoring, alerting, and root cause analysis.
- Automation & Continuous Improvement
- Design, implement, and optimize AWS-based infrastructure solutions that align with business requirements and industry best practices.
- 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.
- Research and stay up-to-date on the latest advancements in cloud distributed systems and generative AI technologies and methodologies.
- Project Leadership
- Take ownership of cloud and platform engineering projects, ensuring they are delivered efficiently, securely, and in accordance with organizational standards.
- Collaboration & Mentorship
- Work closely with cross-functional teams, sharing knowledge and best practices to foster continuous improvement.
Experience / Competences
Essential
- Expertise in AI technologies including Generative AI and Machine Learning.
- Hands-on experience working with Large Language Models (LLMs).
- Track record in the architecture and design of AI driven solutions in software engineering.
- Extensive AWS expertise, including experience with cloud automation, security best practices, and architectural design.
- Expertise in AWS AI services such as Bedrock and the Serverless ecosystem.
- Strong experience with Python, React.js, and JavaScript.
- 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).
- Familiarity with monitoring and logging solutions such as Grafana, CloudWatch, Prometheus, or ELK Stack.
- Familiarity in security and compliance within cloud environments.
- Excellent problem-solving skills and the ability to troubleshoot complex cloud-based environments.
- Strong leadership capabilities, with experience leading technical projects and mentoring team members.
- Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
Desired
- AWS certifications such as AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer – Professional, AWS Certified AI Practitioner, or AWS Certified Developer – Associate.
Job Band & Level
Manager / 7
Not The Perfect Fit?
Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn’t align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don’t hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us.
Company Statement
We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That’s why we’re building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement.
Location
UK - 135 Bishopsgate - London
AI Augmented Engineering Lead in London employer: Liquidnet
Contact Detail:
Liquidnet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Augmented Engineering Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AI and cloud tech. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and DevSecOps. Think about how you can relate your past experiences to the role of AI Augmented Engineering Lead. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at TP ICAP.
We think you need these skills to ace AI Augmented Engineering Lead in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI technologies and AWS. We want to see how your skills align with the role of AI Augmented Engineering Lead, so don’t hold back on showcasing your relevant projects!
Showcase Your Passion: Let your enthusiasm for cloud technology and AI shine through in your application. We love candidates who are genuinely excited about the field, so share any personal projects or experiences that demonstrate your passion for innovation and continuous improvement.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your achievements and how they relate to the responsibilities of the role. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at TP ICAP!
How to prepare for a job interview at Liquidnet
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially Generative AI and Machine Learning. Be ready to discuss your hands-on experience with Large Language Models and how you've implemented AI-driven solutions in software engineering.
✨Show Off Your AWS Expertise
Since this role is heavily focused on AWS, be prepared to talk about your extensive experience with AWS services, particularly around cloud automation and security best practices. Highlight any projects where you've designed or optimised CI/CD pipelines or managed artifact repositories.
✨Demonstrate Leadership Skills
This position requires strong leadership capabilities, so think of examples where you've led technical projects or mentored team members. Be ready to explain how you foster collaboration and continuous improvement within cross-functional teams.
✨Communicate Clearly
You'll need to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Practice explaining your past projects and the impact of AI adoption using clear metrics, as this will show your ability to bridge the gap between tech and business.