At a Glance
- Tasks: Lead AI projects to transform complex workflows into autonomous systems.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, diverse team culture, and opportunities for growth.
- Other info: Embrace a dynamic environment with a focus on diversity and inclusion.
- Why this job: Make a real impact on global finance with innovative AI solutions.
- Qualifications: Experience in AI implementation and strong SQL skills required.
The predicted salary is between 80000 - 100000 £ per year.
hackajob is collaborating with Wise to connect them with exceptional professionals for this role.
Company Description
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world’s money. For everyone, everywhere.
Job Description
More about our mission and what we offer.
A Little Bit About Wise And The Mission
At Wise, our mission is money without borders – instant, convenient, transparent, and eventually free. We’re powering money for people and businesses in their increasingly global lives. To do this for our 16+ million customers, we need to build world‑class operational services that are fast, accurate, and scalable.
Your Mission
- Opportunity Diagnosis: In collaboration with other TGS specialists (e.g., CI, Transformation Managers etc.) you will audit our most complex business workflows, identifying where ‘human‑in‑the‑loop’ processes can be evolved into autonomous agents that reason, decide, and execute.
- Own the end‑to‑end lifecycle of building and deploying AI Agents: You will design AI integrations that respect Wise’s back‑end architecture. You aren’t just writing prompts; you are mapping data flows and ensuring that AI outputs integrate seamlessly into existing operational tools without creating manual workarounds or ‘shadow’ systems.
- Leverage your SQL skills to master the data: You will extract, transform, and load necessary data from various sources to train and inform our AI agents, ensuring they are accurate and context‑aware.
- Collaborate across the business to deliver robust solutions: You will work side‑by‑side with our "AI Champions" and operational experts to solve real‑world problems, while proactively engaging with Privacy, Security, and Compliance to ensure your solutions are secure, compliant, and launched efficiently.
- Iterate, Monitor, and Improve: You will be responsible for maintaining, monitoring, and continuously improving the agents you build to ensure they remain effective as our business and the technology evolves.
- Scale your impact through documentation and best practices: You will document your solutions, contribute to our central AI knowledge wiki, and help upskill the wider organization by sharing your work.
Qualifications
This role is for you if you have…
- Hands‑on AI implementation experience: You have demonstrable experience building AI agents or automations and are an expert prompt engineer.
- Systems & Data Integration: Expertise in SQL and a deep understanding of system architectures. You must be able to navigate Wise’s data gateways to ensure AI agents are consuming high‑fidelity data and returning structured, actionable results back into our core processing engines.
- A strong understanding of AI: Beyond a conceptual grasp of AI, you have a foundational understanding of programming and backend architecture. You can evaluate how LLMs integrate with complex data gateways and system flows.
- A proactive, problem‑solving mindset: You have a proven track record of taking ownership, working collaboratively in a complex organization, and driving projects to completion.
- Comfort with ambiguity and a bias for iteration: This is a highly experimental space. You are comfortable navigating uncertainty, grounding your approach in empirical testing, and embracing failure as a learning opportunity.
- Excellent communication skills: You are proactive, clear, and concise, with the ability to translate complex operational needs into technical requirements.
Bonus points for:
- Direct experience with our current toolset: Credal.ai, Gemini, NotebookLM, or Google Agentspace.
- Subject‑matter expertise in a core servicing area like Payments, Customer Support, Financial Crime, or KYC.
Additional Information
We believe teams are strongest when they are diverse, equitable and inclusive. We’re proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
AI Implementation Senior Manager, TGS in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Implementation Senior Manager, TGS in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with people 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
Prepare for interviews by practising common questions and scenarios related to AI implementation. Think about how your experience aligns with Wise's mission and be ready to share specific examples of your past work.
✨Tip Number 3
Showcase your skills! Create a portfolio or a project that highlights your AI implementations and SQL expertise. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Wise team and its mission.
We think you need these skills to ace AI Implementation Senior Manager, TGS in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how your experience aligns with our mission of creating seamless money management solutions. Share specific examples of your past projects that highlight your hands-on AI implementation skills.
Be Clear and Concise: We appreciate straightforward communication, so keep your application clear and to the point. Use bullet points where possible to make it easy for us to see your qualifications and achievements. Remember, we’re looking for someone who can translate complex ideas into actionable insights!
Tailor Your Application: Make sure to customise your application for the AI Implementation Senior Manager role. Highlight your SQL expertise and any relevant experience with system architectures. Show us how you can navigate data gateways and ensure high-quality outputs from AI agents.
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 gives you a chance to explore more about Wise and our mission while you’re at it!
How to prepare for a job interview at hackajob
✨Know Your AI Stuff
Make sure you brush up on your AI implementation experience. Be ready to discuss specific projects where you've built AI agents or automations. Highlight your expertise in prompt engineering and how you've navigated complex data architectures.
✨SQL Skills Are Key
Since this role requires a strong understanding of SQL, prepare to demonstrate your skills. You might be asked to solve a problem on the spot, so practice extracting, transforming, and loading data. Show how you can ensure high-quality data for AI agents.
✨Collaboration is Crucial
This position involves working closely with various teams, so be ready to share examples of how you've successfully collaborated in the past. Discuss how you've built relationships with Product and Engineering teams and driven projects to completion without needing a project manager.
✨Embrace Ambiguity
The AI space is experimental, so show that you're comfortable with uncertainty. Prepare to talk about times when you've iterated on a project based on empirical testing and how you've learned from failures. This mindset will resonate well with the interviewers.