At a Glance
- Tasks: Deploy AI workflow solutions in banking, collaborating with clients and teams.
- Company: Fast-growing AI firm with strong institutional backing and innovative products.
- Benefits: Competitive salary, equity potential, and opportunities for career progression.
- Other info: Dynamic startup environment with significant growth potential.
- Why this job: Join a pioneering team and influence AI deployment in major banks.
- Qualifications: Experience with AI tools, client-facing roles, and strong problem-solving skills.
The predicted salary is between 80000 - 100000 € per year.
Customer Success - Forward Deployed Engineer (FDE) AI Platform | Banking & Enterprise Technology London (Hybrid – Canary Wharf) £80,000–£100,000 + equity potential
A heavily-backed AI firm founded by one of the original builders behind a major financial technology success story is hiring multiple Forward Deployed Engineers as it enters a major commercial growth phase. The business is building an AI workflow platform designed specifically for financial services — helping banks automate complex operational processes that historically took weeks to complete. Early results have already attracted serious institutional attention, with a major global bank secured as the flagship client and several tier-one financial institutions currently progressing through discussions and pilot activity.
They’re looking for highly technical, commercially aware engineers capable of working directly with enterprise customers to deploy AI-driven workflow solutions into live banking environments.
The Opportunity
- This is a rare chance to join extremely early in the build-out of a business with:
- Significant institutional credibility
- Senior banking relationships already established
- A genuinely differentiated AI product
- Strong commercial momentum before broader market launch
- Immediate enterprise deployment work underway
The London team is scaling rapidly from its Canary Wharf base, with plans to grow both technical and commercial headcount aggressively over the next 12–18 months. You’ll join early enough to influence:
- Client deployment strategy
- Product feedback and iteration
- AI workflow implementation standards
- Commercial expansion opportunities
- Long-term customer success frameworks
The environment is highly entrepreneurial, fast-moving, technical, and commercially ambitious.
The Role
You’ll operate as a hybrid between:
- Forward Deployed Engineer
- AI Solutions Engineer
- Technical Customer Success
- Implementation Consultant
- Workflow Automation Specialist
Initially, much of the work will focus on deploying solutions into a major global banking client environment, working closely with both technical and operational stakeholders. Responsibilities will include:
- Deploying AI workflow solutions into enterprise banking environments
- Working directly with customers to understand operational processes and automation opportunities
- Configuring and adapting AI-driven workflows around client requirements
- Acting as the bridge between engineering, product, and customer teams
- Supporting onboarding, rollout, adoption, and optimisation initiatives
- Helping clients maximise platform usage and long-term value
- Translating technical capability into measurable operational outcomes
- Feeding implementation insight back into product and engineering teams
- Supporting usage expansion and commercial growth across existing accounts
This is a highly client-facing technical role with significant visibility internally and externally.
What They’re Looking For
The ideal profile combines technical capability, deployment experience, and strong communication skills. Requirements include:
- Experience working with AI or GenAI workflow tooling
- Strong understanding of modern deployment environments
- Client-facing implementation or solutions experience
- Ability to work directly with enterprise stakeholders
- Comfortable operating in startup or scale-up environments
- Strong problem-solving capability and technical curiosity
Particular interest in candidates with exposure to:
- Claude Code
- AI agent frameworks
- Kubernetes
- Docker
- React
- Low-code / no-code deployment tooling
- Workflow automation platforms
- Banking or financial services environments
Likely backgrounds could include:
- Forward Deployed Engineering
- Solutions Engineering
- AI Implementation
- Technical Customer Success
- Platform Engineering
- Developer Relations
- Technical Consulting
- Workflow Automation Engineering
Roughly 4–8 years’ experience is preferred, although strong candidates with slightly less experience will still be considered.
Why This Opportunity Stands Out
- AI business with major institutional backing already secured
- One of the earliest technical hires into the commercial deployment team
- Direct exposure to tier-one banking clients
- Blend of engineering, customer interaction, and strategic influence
- Opportunity to work on real-world AI deployment at enterprise scale
- Strong long-term upside through equity and commercial growth
- Significant scope for progression as the company scales internationally
This is the type of role that typically gets filled quietly through networks rather than being openly advertised. Please contact Ian Bailey at Harrington Starr for full details.
Configuration Management Engineer (Hybrid) in London employer: Harrington Starr
Join a pioneering AI firm at the forefront of transforming financial services, where you'll be part of a dynamic team based in Canary Wharf. With a strong focus on employee growth and an entrepreneurial culture, this role offers significant opportunities for influence and progression as the company scales. Enjoy competitive compensation, equity potential, and the chance to work directly with tier-one banking clients on innovative AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Configuration Management Engineer (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those who work at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your technical capabilities, especially with AI and workflow automation. This can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by understanding the company’s products and how they fit into the banking sector. Being able to discuss their AI solutions and how you can contribute will impress them!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us grow. Plus, it shows your genuine interest in being part of our team.
We think you need these skills to ace Configuration Management Engineer (Hybrid) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Configuration Management Engineer role. Highlight your experience with AI workflow tooling and client-facing implementation, as these are key aspects of what we're looking for.
Showcase Your Technical Skills:Don’t shy away from flaunting your technical prowess! Mention any relevant experience with Kubernetes, Docker, or workflow automation platforms. We want to see how you can bridge the gap between engineering and customer success.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your past experiences and how they relate to the role. We appreciate a well-structured application that gets straight to the point!
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 this exciting opportunity in our rapidly growing team!
How to prepare for a job interview at Harrington Starr
✨Know Your AI Tools
Make sure you brush up on your knowledge of AI and GenAI workflow tooling. Be ready to discuss how you've used these technologies in past roles, especially in deployment environments. This will show that you’re technically savvy and can hit the ground running.
✨Understand the Banking Landscape
Familiarise yourself with the banking and financial services environment. Knowing the challenges banks face and how AI can solve them will help you connect with the interviewers. They’ll appreciate your insight into their industry and how you can contribute to their goals.
✨Prepare for Client-Facing Scenarios
Since this role is highly client-facing, think of examples from your past where you’ve successfully interacted with clients. Be ready to explain how you’ve translated technical capabilities into operational outcomes, as this will demonstrate your ability to bridge the gap between engineering and customer needs.
✨Show Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your technical curiosity and problem-solving capabilities, as these are key traits they’re looking for in a candidate who can thrive in a fast-moving, entrepreneurial environment.
