At a Glance
- Tasks: Lead client engagements and shape AI solutions for financial and energy markets.
- Company: Innovative AI company transforming regulatory and operational reporting.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential.
- Why this job: Make a real impact in AI while working with top financial institutions.
- Qualifications: Experience in client-facing technical projects and strong AI literacy required.
The predicted salary is between 60000 - 80000 € per year.
About The Job
I'm currently recruiting for an agentic AI company rebuilding the regulatory and operational reporting stack for global financial and energy markets. The business replaces fragmented manual processes with AI agents that reason about rules, reconcile data, and resolve exceptions end‑to‑end, and is already working with leading financial institutions and European energy market participants.
About The Role
They are hiring a Forward AI Engineer to own client engagements end‑to‑end. You'll lead client calls and workshops, scope requirements, define delivery plans, and drive technical teams through to delivery. This is a highly client‑facing role where you shape AI solutions, challenge estimates, and translate business needs into clear technical direction. You don't need to write production code, but you must be technically credible in modern AI.
Requirements
- You’ll have experience running client‑facing technical projects end‑to‑end, including scoping, planning, milestones, risk management, and stakeholder communication.
- Near‑native French is essential, with confidence leading meetings and producing written deliverables in French.
- You’ll also bring strong AI literacy across RAG, multi‑agent systems, and frameworks such as LangChain, LangGraph, or LlamaIndex.
Nice to Have
- Hands‑on AI engineering experience, exposure to agentic platforms such as Claude, experience in financial or regulatory reporting, familiarity with smaller or domain‑specific models, and cloud deployment experience (AWS, Azure, or GCP) are all strong advantages.
Soft Skills
- Strong stakeholder management, clear ownership of outcomes, the ability to translate between business and technical audiences, and a pragmatic delivery mindset are key to success in this role.
Forward Deployed AI Engineer in London employer: Jobs via eFinancialCareers
Join a pioneering AI company that is transforming the regulatory and operational reporting landscape for global financial and energy markets. With a strong focus on employee growth, you will have the opportunity to lead client engagements and shape innovative AI solutions in a collaborative and dynamic work culture. Located in London, you'll benefit from a vibrant city atmosphere while working alongside industry leaders, ensuring your contributions are both meaningful and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Engineer in London
✨Tip Number 1
Get to know the company inside out! Research their projects, values, and recent news. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Practice your client-facing skills! Since this role is all about engaging with clients, try role-playing scenarios with friends or colleagues. This will boost your confidence and help you articulate your ideas clearly.
✨Tip Number 3
Brush up on your French! Since near-native proficiency is essential, consider having mock meetings in French. This will not only improve your language skills but also prepare you for real client interactions.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to connect with opportunities that match your skills. Plus, it shows you're proactive and serious about landing that Forward Deployed AI Engineer role!
We think you need these skills to ace Forward Deployed AI Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with client-facing technical projects. We want to see how you’ve scoped, planned, and communicated effectively in previous roles.
Show Off Your AI Knowledge:Don’t hold back on showcasing your understanding of AI concepts, especially around RAG and multi-agent systems. We’re looking for someone who can translate complex ideas into clear solutions, so let that shine through!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, you’re aiming to communicate your skills and experiences effectively.
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’s super easy!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of modern AI concepts, especially around RAG and multi-agent systems. Be ready to discuss how these frameworks can be applied in real-world scenarios, particularly in financial and regulatory contexts.
✨Showcase Your Client Engagement Skills
Since this role is highly client-facing, prepare examples from your past experiences where you've successfully led client calls or workshops. Highlight your ability to scope requirements and manage stakeholder communication effectively.
✨Practice Your French
As near-native French is essential, take some time to practice leading discussions and producing written deliverables in French. This will not only boost your confidence but also demonstrate your commitment to the role.
✨Demonstrate Pragmatic Delivery Mindset
Be prepared to discuss how you approach project planning, risk management, and milestone tracking. Show that you can translate complex technical needs into clear, actionable plans that align with business objectives.
