At a Glance
- Tasks: Implement AI-driven workflow solutions for enterprise banking clients and optimise their operational processes.
- Company: Exciting AI fintech startup backed by experienced financial technology leaders.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic startup culture with evolving challenges and opportunities for innovation.
- Why this job: Join a fast-paced environment and make a real impact in transforming banking operations.
- Qualifications: 3-5 years in a technical client-facing role with strong AI and banking experience.
The predicted salary is between 60000 - 80000 € per year.
An emerging AI fintech backed by highly experienced financial technology leaders is looking to hire a Forward Deployment Engineer/Solutions Engineer as the business enters a major growth phase. The company is building an AI-powered workflow platform focused on transforming operational processes inside large financial institutions. Using advanced AI agents, the technology is designed to automate complex banking workflows, dramatically reducing manual effort and operational turnaround times.
The Opportunity
This is a client-facing technical role positioned at the intersection of:
- Customer Success
- Solutions Engineering
- Technical Consulting
- AI Platform Delivery
You’ll work directly with enterprise banking clients to help deploy, configure, and scale AI-driven workflow solutions across live operational environments. The role is ideal for someone who enjoys combining technology, problem-solving, client interaction, and commercial impact within a fast-moving AI business.
What You’ll Be Doing
- Delivering AI workflow implementations for enterprise financial services clients
- Working closely with customer stakeholders to understand operational challenges and automation opportunities
- Configuring and optimising AI-agent workflows within client environments
- Supporting onboarding, testing, deployment, and post-go-live adoption
- Acting as a trusted technical advisor throughout the customer lifecycle
- Collaborating with product and engineering teams to improve platform functionality and client outcomes
- Supporting pre-sales discussions, solution workshops, and proof-of-concept activities
- Helping drive long-term platform usage and account growth
What They’re Looking For
- 3–5 years’ experience in a technical, client-facing environment
- Strong exposure to AI tooling, LLM workflows, or GenAI platforms
- Hands-on experience using Claude Code is essential
- Experience working with financial services or banking clients
- Strong communication skills with the ability to engage both technical and non-technical stakeholders
- Comfortable operating in a startup or scale-up environment with evolving priorities
- Commercial awareness and a proactive, solutions-oriented mindset
Nice to Have
- Docker
- React
- API integrations
- Solutions Engineering or technical pre-sales background
Solutions Engineer employer: Harrington Starr
As an emerging AI fintech based in the vibrant Canary Wharf, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our employees benefit from extensive growth opportunities within a rapidly expanding sector, alongside a supportive environment that encourages professional development and client engagement. Join us to be part of a transformative journey in financial technology, where your contributions directly impact the future of banking operations.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Engineer
✨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! Prepare a portfolio or case studies that highlight your experience with AI tooling and workflow implementations. This will give you an edge during interviews and show you mean business.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for technical roles, especially around client interactions and problem-solving. Mock interviews with friends can help you nail your delivery.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in the AI fintech world. Your next big opportunity could be just a click away!
We think you need these skills to ace Solutions Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Solutions Engineer. Highlight your experience with AI tooling and any client-facing roles you've had. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're excited about the opportunity at StudySmarter and how you can contribute to our mission. Be genuine and let your personality come through.
Showcase Relevant Experience:When detailing your experience, focus on your hands-on work with AI platforms and any relevant projects. We love seeing examples of how you've tackled challenges in previous roles, especially in financial services.
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 shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Harrington Starr
✨Know Your Tech Inside Out
Make sure you’re well-versed in AI tooling, LLM workflows, and GenAI platforms. Brush up on your hands-on experience with Claude Code, as this will be crucial for demonstrating your technical prowess during the interview.
✨Understand the Client's Needs
Research the financial services sector and the specific challenges faced by enterprise banking clients. Be prepared to discuss how you can help them automate workflows and improve operational efficiency using AI solutions.
✨Showcase Your Communication Skills
Since this role involves engaging with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think of examples where you've successfully communicated technical information to diverse audiences.
✨Be Ready for Problem-Solving Scenarios
Prepare for situational questions that assess your problem-solving abilities. Think about past experiences where you’ve tackled challenges in a client-facing role, especially in fast-paced environments like startups or scale-ups.
