At a Glance
- Tasks: Design and develop innovative AI solutions for internal audit challenges.
- Company: Join TP ICAP, a global leader in market infrastructure and data solutions.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Be part of a diverse team that values innovation and inclusivity.
- Why this job: Shape the future with cutting-edge AI technology and make a real impact.
- Qualifications: Experience in AI technologies, Python, and scalable solution design.
The predicted salary is between 60000 - 80000 £ per year.
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 operates from more than 60 offices in 27 countries and is home to a stable of premium brands.
Role Overview: This is one of several newly created opportunities across our business functions that will sit within our Group Technology function as an Associate AI Engineer and be seconded out to various functions across the business including but not limited to Group Internal Audit, Operations and Human Resources. TP ICAP is a leading global provider of market infrastructure and data solutions, specialising in financial services. With a strong commitment to innovation, we help clients navigate the complexities of global markets by offering advanced technology solutions that enhance decision‑making and drive growth. We have established a dedicated AI & Innovation Lab to develop and deliver transformative AI-based solutions across the organisation.
Responsibilities:
- Architect and design innovative AI solutions tailored to internal audit challenges, transforming how TP ICAP manages the internal audit lifecycle through AI‑driven solutions.
- Build and deploy cutting‑edge AI applications for internal audit use cases, ensuring that solutions are high‑performing, scalable, and optimised for real‑time internal audit operations.
- Translate stakeholder requirements into technical solutions, ensuring alignment with both business objectives and the technical standards established by the central AI & Innovation Lab.
- Scale our AI agent solutions while maintaining strict data stewardship and compliance standards.
- Co‑develop and enhance the shared AI service platform and frameworks with the AI & Innovation Lab, contributing internal audit insights and requirements while customising solutions for domain‑specific requirements.
- Provide ongoing support and maintenance for deployed internal audit AI solutions, ensuring smooth operation and quick resolution of any issues affecting internal audit processes.
- Present AI project updates and key developments to key leadership and business stakeholders, demonstrating value and ensuring alignment with the firm’s strategy.
Experience / Competences:
Essential:- Expertise in AI technologies, including Generative AI and Machine Learning.
- Hands‑on experience working with Large Language Models (LLMs).
- Experience with Python in AI/ML frameworks and libraries.
- Track record in the architecture and design of domain‑specific solutions with expertise in building scalable and robust services in production environments.
- Experience in managing tech priorities within an Agile backlog, resolving dependencies, and ensuring alignment with both objectives and central AI team standards.
- Evidence of presenting complex technical concepts to business stakeholders with varying technical backgrounds.
- AWS experience, including AI services such as Bedrock and the Serverless ecosystem, with the ability to work within established cloud frameworks.
- Proficiency in front‑end technologies, particularly with React.
- Evidence of building intuitive, responsive user interfaces that integrate seamlessly with AI‑driven back‑end services.
- Expertise in back‑end development, with experience in building and deploying scalable APIs and microservices to support AI solutions.
- Knowledge of OAuth (Okta) for implementing secure, scalable authentication and authorisation mechanisms in full‑stack applications, ensuring data protection and privacy across AI solutions.
We are looking for a proactive, adaptable, and detail‑oriented individual who thrives in fast‑paced environments and embraces challenges. The ideal candidate will be open to innovative ideas, with a strong analytical mindset and problem‑solving skills. They will demonstrate excellent communication, tailoring their style to suit different audiences, including both technical and internal audit professionals, and engage confidently while respecting professional and company values. With a keen eye for detail, they will stay organised, remain calm under pressure, and consistently seek opportunities for improvement while maintaining strong collaboration with the central AI & Innovation Lab.
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.
Forward Deployed Engineer (AI) employer: TP ICAP
TP ICAP Group is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong commitment to employee growth, we provide access to cutting-edge technology and opportunities to collaborate across various business functions, ensuring that every team member can contribute to transformative AI solutions. Our inclusive culture fosters diversity and encourages all employees to share their unique perspectives, making TP ICAP not just a workplace, but a community dedicated to professional development and meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer (AI)
✨Tip Number 1
Network like a pro! Reach out to current employees at TP ICAP on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for those interviews! Research common AI-related questions and practice your responses. We want you to showcase your skills and experience confidently, so don’t leave it to chance.
✨Tip Number 3
Show off your projects! If you've worked on any AI solutions or relevant tech projects, be ready to discuss them in detail. We love seeing how you’ve applied your knowledge in real-world scenarios.
✨Tip Number 4
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 Forward Deployed Engineer (AI)
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 how they relate to the role. We want to see how your skills align with our mission at TP ICAP!
Showcase Your Projects:Include specific examples of AI projects you've worked on, especially those involving Generative AI or Large Language Models. This helps us understand your hands-on experience and problem-solving abilities.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to explain your technical skills and how they can benefit our internal audit processes.
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 this exciting opportunity at TP ICAP!
How to prepare for a job interview at TP ICAP
✨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 applied Python in AI/ML frameworks. This will show that you're not just familiar with the concepts but can also implement them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex technical challenges in the past. Think about times when you had to translate stakeholder requirements into technical solutions. This will demonstrate your ability to align business objectives with technical standards, which is crucial for this role.
✨Communicate Like a Pro
Practice explaining complex technical concepts in simple terms. You’ll likely be presenting updates to stakeholders with varying technical backgrounds, so being able to tailor your communication style is key. Consider doing mock presentations to friends or family to refine your delivery.
✨Be Agile and Adaptable
Familiarise yourself with Agile methodologies and be prepared to discuss how you've managed tech priorities within an Agile backlog. Highlight any experiences where you resolved dependencies and ensured alignment with objectives. This will show that you can thrive in fast-paced environments and adapt to changing needs.