AI Augmented Engineering Lead

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 eco system

• 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

#LI-Hybrid #LI-MID

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 a 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

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 eco system

• 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

#LI-Hybrid #LI-MID

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 a 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

Driving sustainable markets with innovative energy and commodities brokering.