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- 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: Competitive salary, flexible working, and opportunities for professional development.
- Other info: Dynamic role with excellent career advancement opportunities.
- 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.
Technology Solutions Engineer in London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technology 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 your hands-on expertise.
✨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 challenges in previous roles and how you can bring that problem-solving mindset to the table.
✨Tip Number 4
Apply through our website! We make it easy for you to showcase your skills and passion for the role. Plus, it helps us see your application in the best light possible!
We think you need these skills to ace Technology Solutions Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Technology Solutions Engineer. Highlight your experience with AI tooling and any relevant projects you've worked on, especially in 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! Use it to showcase your passion for AI and problem-solving. Tell us why you're excited about transforming operational processes in banking and how you can contribute to our growth phase.
Showcase Your Client Interaction Skills: Since this role involves working closely with enterprise banking clients, make sure to highlight any previous experience you have in client-facing roles. We love seeing examples of how you've successfully navigated client relationships and delivered solutions.
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 on joining our team at StudySmarter!
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 how these technologies can transform operational processes in financial institutions, as this will show your potential employer that you understand their business and the role's requirements.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in a tech environment. Think about times when you’ve deployed or configured solutions for clients, especially in financial services, and be ready to explain your thought process and the impact of your solutions.
✨Engage with Client Scenarios
Since this role involves direct client interaction, practice how you would approach onboarding and supporting clients. Be prepared to role-play scenarios where you help clients adopt AI-driven workflow solutions, demonstrating your customer success mindset and commercial awareness.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in the company’s growth and technology. Inquire about their future plans for AI implementations or how they measure success in client engagements. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.