At a Glance
- Tasks: Lead AI transformation and define strategy across a major global commodities trading organisation.
- Company: Join a leading global commodities trading firm with a strong focus on AI innovation.
- Benefits: Executive-level visibility, greenfield projects, and significant impact on AI initiatives.
- Other info: Opportunity to build and lead a growing AI function with high-value use cases.
- Why this job: Shape the future of AI in a dynamic environment with real business transformation.
- Qualifications: Strong software engineering background and experience in AI-driven transformation roles.
The predicted salary is between 80000 - 100000 £ per year.
We're partnering with a major global commodities trading organisation on a newly created AI leadership opportunity. This isn't a "build another chatbot" role. This is a chance to define and lead how AI reshapes an entire business, from software engineering and developer productivity through to legal, compliance, middle-office and operational workflows. The organisation has strong executive sponsorship, significant appetite for investment, and a growing portfolio of AI initiatives already underway. They are now looking for a senior technology leader to build the roadmap, identify new opportunities, and drive AI adoption at scale.
The Opportunity
- You'll sit at the intersection of technology strategy, software engineering, and applied AI.
- Working closely with senior leadership, you'll help define how AI is embedded across the organisation, leading initiatives focused on:
- Agentic AI and autonomous workflow automation
- AI-enabled software engineering and developer productivity
- Internal AI platforms and enablement capabilities
- Modernisation of existing business processes and applications
- AI transformation across operations, legal, compliance and support functions
- Identifying and prioritising high-value AI use cases across the business
This is a highly visible role with the opportunity to shape a long-term AI transformation programme from the ground up.
What We're Looking For
- We're interested in technology leaders who have evolved from strong software engineering foundations into AI-driven transformation roles.
- You'll bring:
- A strong software engineering background with experience across the full SDLC
- Experience leading engineering teams and influencing senior stakeholders
- Hands-on understanding of modern AI tooling, LLMs, AI agents and agentic workflows
- A track record of delivering technology transformation programmes
- Experience improving developer velocity, engineering effectiveness and platform adoption
- The ability to bridge strategy, architecture and execution
- Experience within commodities, energy trading, financial markets or other complex regulated environments would be highly advantageous.
Why This Role?
- Opportunity to define AI strategy at enterprise scale
- Executive-level visibility and sponsorship
- Greenfield mandate with significant scope for impact
- Blend of technology leadership and hands-on innovation
- Opportunity to build and shape a growing AI function
- Exposure to some of the most commercially valuable AI use cases in the market
If you're currently leading AI adoption, AI engineering enablement, developer productivity, agentic AI initiatives, or enterprise AI transformation programmes and are interested in building something genuinely impactful, we'd love to hear from you.
Head of Artificial Intelligence in City of London employer: Cititec
Join a leading global commodities trading organisation that is at the forefront of AI transformation, offering an exceptional work culture that fosters innovation and collaboration. With strong executive support and a commitment to employee growth, this role provides a unique opportunity to shape the future of AI across the business while enjoying a dynamic environment in London. Benefit from significant investment in technology and the chance to lead high-impact initiatives that redefine operational workflows and enhance developer productivity.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Artificial Intelligence in City of London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Cititec or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Cititec.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Cititec.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Cititec that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Head of Artificial Intelligence in City of London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Cititec.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Cititec and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Cititec
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Cititec uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
