Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deploy and optimise AI-driven workflow solutions for enterprise banking clients.
- Company: Exciting AI fintech startup with a focus on innovation and growth.
- Benefits: Flexible working hours, competitive salary, and opportunities for professional development.
- Other info: Dynamic team culture with great potential for career advancement.
- Why this job: Join a fast-paced environment and make a real impact in the financial sector.
- Qualifications: Experience with AI tools and a background in financial services is a plus.
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.
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.
- Delivering AI workflow implementations for enterprise financial services clients
- Configuring and optimising AI-agent workflows within client environments
- Supporting onboarding, testing, deployment, and post-go-live adoption
- Helping drive long-term platform usage and account growth
Strong exposure to AI tooling, LLM workflows, or GenAI platforms. Experience working with financial services or banking clients. Commercial awareness and a proactive, solutions-oriented mindset.
Flexible Solutions Engineer in London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Flexible Solutions 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 project that highlights your experience with AI tooling and workflow solutions. This gives you something tangible to discuss during interviews and shows you're proactive.
✨Tip Number 3
Prepare for the technical side! Brush up on your knowledge of AI platforms and financial services. Be ready to discuss how you've tackled similar challenges in the past—this will impress potential employers.
✨Tip Number 4
Apply through our website! We make it easy for you to showcase your skills and connect with us directly. Plus, it shows you're genuinely interested in being part of our team.
We think you need these skills to ace Flexible Solutions Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of a Flexible Solutions Engineer. Highlight your experience with AI tools and any relevant work with financial services. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and problem-solving, and explain why you’re excited about working with us at StudySmarter. Let your personality come through!
Showcase Relevant Experience: When detailing your past roles, focus on experiences that demonstrate your ability to deploy and optimise AI solutions. We love seeing examples of how you've made a commercial impact in previous positions.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Harrington Starr
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI tooling and LLM workflows. The company is all about AI-driven solutions, so being able to discuss how these technologies can transform banking operations will show that you're not just familiar with the tech, but that you’re genuinely passionate about it.
✨Understand the Client's Needs
Research the financial services sector and understand the challenges faced by enterprise banking clients. Be ready to discuss how you can help them deploy and optimise AI solutions. This shows that you’re not just a techie, but someone who can think commercially and provide real value.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've successfully solved complex problems, especially in a client-facing role. Highlighting your ability to navigate challenges and deliver solutions will resonate well with the interviewers, as they’re looking for someone who thrives in fast-paced environments.
✨Ask Insightful Questions
Come prepared with questions that demonstrate your interest in the role and the company’s growth phase. Inquire about their current projects or future plans for the AI platform. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.