At a Glance
- Tasks: Lead the AI Ops team to build impactful automations and agents for internal use.
- Company: Join a mission-driven company recognised globally for its influence and growth.
- Benefits: Competitive salary, remote work options, and opportunities for professional development.
- Other info: Be part of a carbon-negative company making a positive environmental impact.
- Why this job: Make a real difference in financial inclusion while working with cutting-edge AI technology.
- Qualifications: Experience in AI engineering and strong leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
Impact
Your automations and agents will directly improve how 2,300+ employees work across our global operations. We've already helped over 7 million customers access over $2 billion in credit - and the tools you build will help that mission scale further and faster.
Opportunity
- Mission-driven engineering: Every automation you build helps internal teams and customer-facing staff deliver financial inclusion to Africa's Every Day Earners.
- Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing for 4 consecutive years (2022–2025).
- Scale challenges: 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe - internal teams that can't scale by hiring forever need intelligent tooling that actually works.
- Environmental impact: We are carbon-negative, having displaced over 2 million tonnes of emissions.
What You'll Do
At M-KOPA, you'll lead the AI Ops team from day one - owning delivery, growing the function, and proving the value. Your team builds automations and agents for internal use and serves as internal consultants, helping Software Engineering teams integrate AI into customer-facing products.
Key Responsibilities
- Lead two AI Ops Engineers – own their delivery, development, and day-to-day work.
- Prioritise efficiently – manage competing requests from multiple teams by applying a clear prioritisation framework you will help develop and improve.
- Build and ship automations and agents that measurably improve how internal teams and customer-facing staff work.
- Keep the AI tooling stack healthy as usage scales across 2,500+ employees.
- Stay current on emerging AI tools and technologies – know what's hype and what's actually useful.
- Help refine AI training for the wider organisation, including Software Engineering teams.
Technical Environment: AI
Lead AI Engineer - Financial Inclusion employer: M Kopa
At M-KOPA, we pride ourselves on being a mission-driven employer that empowers our employees to make a tangible impact in the world of financial inclusion. With a dynamic work culture that fosters innovation and collaboration, you'll have the opportunity to lead a talented team while contributing to our goal of improving access to credit for millions across Africa. Our commitment to employee growth, coupled with our recognition as one of the world's most influential companies, makes M-KOPA an exceptional place to advance your career while making a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer - Financial Inclusion
✨Tip Number 1
Network like a pro! Reach out to current employees at M-KOPA on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Lead AI Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects, especially those related to AI and automation. When you get the chance to chat with hiring managers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Stay updated on industry trends! Follow the latest developments in AI and financial inclusion. Being able to discuss current tools and technologies during interviews will demonstrate your passion and knowledge, making you a standout candidate.
✨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 mission-driven team at M-KOPA.
We think you need these skills to ace Lead AI Engineer - Financial Inclusion
Some tips for your application 🫡
Show Your Passion for Impact:When writing your application, let us know why you're excited about making a difference in financial inclusion. Share any relevant experiences that highlight your commitment to helping others and how you can contribute to our mission.
Highlight Your Technical Skills:Make sure to showcase your technical expertise in AI and automation. We want to see specific examples of projects you've worked on, the tools you've used, and how your contributions have made a measurable impact.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the key responsibilities and skills mentioned in the job description. This shows us that you’ve done your homework and are genuinely interested in the role.
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 makes the process smoother for everyone involved!
How to prepare for a job interview at M Kopa
✨Know Your AI Stuff
Make sure you brush up on the latest AI tools and technologies. Be ready to discuss how you've used them in past projects, especially in automations that improve workflows. This role is all about leading a team and making impactful changes, so show your expertise!
✨Showcase Your Leadership Skills
Since you'll be leading a team of AI Ops Engineers, it's crucial to demonstrate your leadership style. Prepare examples of how you've managed teams, prioritised tasks, and delivered results. Highlight any frameworks you've developed for prioritisation – this will show you're ready to take charge.
✨Understand the Mission
Familiarise yourself with M-KOPA's mission of financial inclusion. Be prepared to discuss how your work can contribute to helping everyday earners in Africa. Showing that you align with their values will set you apart from other candidates.
✨Prepare for Scenario Questions
Expect questions that ask how you'd handle specific challenges, like scaling AI tools across a large workforce. Think through potential scenarios and how you'd approach them. This will demonstrate your problem-solving skills and readiness for the role.
