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For Companies At a Glance
- Tasks: Implement AI-driven workflow solutions for enterprise banking clients and optimise their operational processes.
- Company: Exciting AI fintech startup transforming the financial industry with innovative technology.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth in a dynamic environment.
- Other info: Be part of a growing company with a collaborative culture and evolving challenges.
- Why this job: Join a fast-paced team and make a real impact on the future of banking with AI.
- Qualifications: 3-5 years in a client-facing tech role, experience with AI tools, and strong communication skills.
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:
- Forward Deployed Engineering
- 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
- Kubernetes
- Docker
- React
- API integrations
- Solutions Engineering or technical pre-sales background
Please apply if you think suitable.
Solutions Engineer in City of London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Solutions Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with AI tooling and workflow implementations. When you’re in those interviews, we want you to demonstrate how you’ve tackled challenges and delivered results for clients.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your communication skills. Being able to engage both technical and non-technical stakeholders is key, so let’s make sure you’re ready to shine in front of your future employers.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who are eager to join our team. By applying directly, you’ll have a better chance of getting noticed by our hiring managers.
We think you need these skills to ace Solutions Engineer in City of London
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 client-facing roles, as well as any relevant projects that showcase your problem-solving skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the opportunity at our AI fintech company and how your background aligns with our mission to transform operational processes in financial institutions.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with Claude Code and any other relevant technologies like Kubernetes or Docker. We want to see how you can contribute to our AI-driven solutions right from the get-go!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harrington Starr
✨Know Your Tech Inside Out
Make sure you’re well-versed in AI tooling and LLM workflows, especially Claude Code. Brush up on your technical skills and be ready to discuss how you've used these tools in past roles. This will show that you can hit the ground running!
✨Understand the Client's Needs
Research the company and its clients before the interview. Familiarise yourself with common operational challenges in financial services and think about how AI can address these issues. This will help you demonstrate your problem-solving skills and client-centric approach.
✨Showcase Your Communication Skills
Since this role involves engaging with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated with diverse teams in the past to highlight your versatility.
✨Be Ready for Scenario Questions
Expect questions that assess your ability to handle real-world situations, like deploying AI solutions or managing client expectations. Think of specific examples from your experience where you’ve navigated challenges and delivered successful outcomes.