At a Glance
- Tasks: Lead client engagements and shape AI solutions for financial and energy markets.
- Company: Dynamic AI company transforming regulatory and operational reporting.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Fluency in French is essential; 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 employer: Jobs via eFinancialCareers
Huxley is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As a Forward Deployed AI Engineer, you'll engage directly with clients, shaping cutting-edge AI solutions while benefiting from a culture that prioritises professional growth and development. Located in the heart of London, you will enjoy access to a vibrant tech community and numerous networking opportunities, making it an ideal place for those looking to make a meaningful impact in the financial and energy sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Engineer
✨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 a friend or mentor. 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 showcase your AI knowledge! Be ready to discuss frameworks like LangChain or LlamaIndex. We want to see how you can translate complex technical concepts into business solutions during your discussions.
We think you need these skills to ace Forward Deployed AI Engineer
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 managed risks in previous roles, so don’t hold back!
Show Off Your AI Knowledge:Since this role is all about AI, let us know about your familiarity with frameworks like LangChain or LlamaIndex. We’re keen to see how you can translate complex AI concepts into practical solutions for clients.
Demonstrate Your Communication Skills:As a Forward Deployed AI Engineer, you'll be leading meetings and workshops. Make sure your application reflects your strong stakeholder management skills and your ability to communicate effectively in both English and French.
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 get you started on this exciting journey with us at StudySmarter!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, especially around RAG and multi-agent systems. Be ready to discuss how these frameworks can be applied in real-world scenarios, as this will show your technical credibility.
✨Master the Client Engagement
Since this role is highly client-facing, practice how you would lead a client call or workshop. Think about how to scope requirements clearly and communicate effectively with stakeholders. Role-playing with a friend can help you feel more confident.
✨Showcase Your Language Skills
With near-native French being essential, prepare to demonstrate your language proficiency during the interview. You might be asked to discuss technical topics in French, so practice explaining complex ideas in both languages.
✨Be Pragmatic and Solution-Oriented
Highlight your ability to translate business needs into technical solutions. Prepare examples from past experiences where you successfully managed projects, tackled risks, and delivered results. This will showcase your pragmatic delivery mindset.
