At a Glance
- Tasks: Deploy AI solutions in banking and fintech, solving real-world problems.
- Company: Join a dynamic team at the forefront of AI in finance.
- Benefits: Gain hands-on experience with cutting-edge technology and high ownership.
- Other info: Work in a fast-paced environment with excellent career growth opportunities.
- Why this job: Be part of the AI transformation in financial services and make a real impact.
- Qualifications: Experience in engineering roles and strong understanding of AI/LLMs required.
The predicted salary is between 60000 - 80000 € per year.
We’re looking for a client-facing Forward Deployed Engineer / Solutions Engineer who can bridge cutting-edge AI with real-world deployment inside major financial institutions. You’ll be working with clients — designing agentic workflows, deploying AI systems, solving operational problems.
What You’ll Do
- Work directly with banking and fintech clients to deploy AI-powered workflow solutions
- Design and implement agentic workflows using modern LLM tooling
- Prototype fast, iterate faster, and own deployments end-to-end
- Partner with product and engineering teams to turn client problems into scalable solutions
- Act as the technical face of the company during implementations and strategic engagements
- Help define best practices around AI operations, orchestration, and enterprise deployment
What We’re Looking For
- Experience in Solutions Engineering, Forward Deployed Engineering, Sales Engineering, or technical consulting
- Strong understanding of AI/LLMs and agentic systems
- Hands-on experience with tools like Claude Code, APIs, orchestration frameworks, or workflow automation platforms
- Excellent client-facing communication skills
- Comfortable operating in fast-moving environments with high ownership
- Experience working with banking, fintech, or enterprise clients
- Technical enough to build, deploy, troubleshoot, and demo confidently
- Experience deploying AI products into regulated environments
- Knowledge of financial operations/workflows
Why Join?
- Front-row seat to the AI transformation of financial services
- High-impact role with direct exposure to enterprise customers
- Small team, massive ownership
- Work on genuinely cutting-edge AI deployment challenges
Please get in touch with me with your CV at ryan.waters@harringtonstarr.com
Forward Deployed Engineer/Solution Engineer in London employer: Harrington Starr
Join a dynamic team at the forefront of AI innovation in the financial sector, where you'll have the opportunity to work closely with major banking and fintech clients. Our collaborative work culture fosters creativity and ownership, allowing you to tackle cutting-edge challenges while benefiting from continuous professional development. With a focus on impactful solutions and a supportive environment, this role offers a unique chance to shape the future of financial services through AI.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer/Solution Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to AI and workflow automation. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by practising common technical questions and client-facing scenarios. Role-play with a friend or use mock interview platforms to build your confidence and refine your communication skills.
✨Tip Number 4
Don’t forget to 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 team.
We think you need these skills to ace Forward Deployed Engineer/Solution Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Forward Deployed Engineer. Highlight your experience with AI, fintech, and client-facing roles. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific examples of projects where you've deployed AI solutions or worked with financial institutions. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your experience and how it relates to the job. We appreciate a well-structured application that gets to the point!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Harrington Starr
✨Know Your Tech Inside Out
Make sure you’re well-versed in AI, LLMs, and the specific tools mentioned in the job description. Brush up on your knowledge of Claude Code, APIs, and orchestration frameworks. Being able to discuss these confidently will show that you’re technically capable and ready to tackle real-world challenges.
✨Showcase Your Client-Facing Skills
Since this role involves working directly with clients, practice articulating complex technical concepts in a way that’s easy for non-technical stakeholders to understand. Prepare examples from your past experiences where you successfully communicated with clients or solved their problems.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss how you’ve approached operational problems in previous roles. Think of specific instances where you designed workflows or deployed solutions, especially in regulated environments like banking or fintech. This will highlight your hands-on experience and ability to think on your feet.
✨Prepare for Fast-Paced Scenarios
This role requires comfort in fast-moving environments, so be prepared for situational questions that test your adaptability and ownership. Think about times when you had to prototype quickly or iterate on a solution under pressure, and be ready to share those stories.
