At a Glance
- Tasks: Lead client projects and deliver innovative AI solutions from start to finish.
- Company: Join Huxley, a dynamic trading division transforming the regulatory landscape.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting environment with a focus on innovation and collaboration.
- Why this job: Be at the forefront of AI technology and make a real difference in client engagements.
- Qualifications: Strong AI knowledge, client-facing experience, and near-native French skills required.
The predicted salary is between 60000 - 80000 € per year.
Huxley, a trading division of SThree Partnership LLP, is seeking a Forward AI Engineer. This role involves leading client engagements end-to-end, scoping requirements, and driving technical teams to deliver AI solutions. Strong AI literacy and near-native French are essential.
The ideal candidate will have experience in client-facing roles, with a deep understanding of modern AI methodologies. Experience with platforms like LangChain is a plus. This is a unique opportunity to work within a dynamic company transforming the regulatory landscape.
Client-Facing AI Engineer: Lead Agentic AI Solutions employer: Jobs via eFinancialCareers
Huxley offers an exceptional work environment where innovation meets collaboration, making it an ideal employer for those passionate about AI solutions. With a strong focus on employee growth and development, team members are encouraged to expand their skills while working on transformative projects that shape the future of regulatory landscapes. Located in a vibrant area, Huxley promotes a culture of inclusivity and support, ensuring that every employee feels valued and empowered to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Client-Facing AI Engineer: Lead Agentic AI Solutions
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Huxley or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your AI projects. When you get the chance to meet with potential employers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Practice makes perfect! Brush up on your French and technical jargon related to AI. Being able to communicate effectively in both languages will not only impress but also demonstrate your commitment to the role.
✨Tip Number 4
Apply through our website! We want to see your application come through directly. It shows initiative and gives us a better chance to connect with you personally. Don’t miss out on this unique opportunity!
We think you need these skills to ace Client-Facing AI Engineer: Lead Agentic AI Solutions
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Client-Facing AI Engineer role. Highlight your AI literacy and any client-facing experience you've had, as this is key for us.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for leading client engagements. Don’t forget to mention your near-native French skills!
Showcase Relevant Projects:If you've worked on AI solutions or have experience with platforms like LangChain, make sure to include these in your application. We love seeing real-world examples of your work and how you’ve driven technical teams.
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 this exciting opportunity in transforming the regulatory landscape.
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your AI Inside Out
Make sure you brush up on your AI knowledge, especially modern methodologies. Be ready to discuss specific projects you've worked on and how they relate to the role. This will show your depth of understanding and passion for the field.
✨Showcase Your Client Engagement Skills
Since this role is client-facing, prepare examples of how you've successfully managed client relationships in the past. Think about challenges you faced and how you overcame them, as well as how you ensured client satisfaction.
✨Brush Up on Your French
As near-native French is essential, practice speaking and writing in French before the interview. You might be asked to demonstrate your language skills, so be prepared to discuss technical concepts in French to showcase your fluency.
✨Familiarise Yourself with LangChain
If you have experience with platforms like LangChain, be ready to discuss it in detail. If not, do some research and understand its applications in AI solutions. Showing that you’re proactive about learning new tools can set you apart from other candidates.
