At a Glance
- Tasks: Lead technical delivery and pre-sales as our first Solution Architect, shaping the future of AI solutions.
- Company: Join Sprout.ai, a pioneering company transforming insurance automation with cutting-edge technology.
- Benefits: Enjoy a strong salary, share options, learning budget, and a MacBook Pro for your home setup.
- Why this job: Make a real impact by defining solution architecture in a high-growth environment.
- Qualifications: Experience in solution architecture or technical consulting, with strong communication skills.
- Other info: Collaborative culture focused on innovation and personal growth.
The predicted salary is between 48000 - 84000 £ per year.
Location: London or US (East Coast)
Working Pattern: Hybrid or Remote
Travel Expectations: Regular opportunities to travel to the US
Role Summary: Become the founding pillar of Sprout.ai’s pre-sales and technical delivery as our first Solution Architect - a strategic role designed for a builder who wants to define the standard for Solution Architecture at Sprout as we scale. You’ll guide customers from initial technical discovery through successful deployment, establishing the entire architectural framework for our enterprise AI platform, and bridging the gap between GTM, Product, and Engineering to deploy cutting-edge LLM and automation technologies. This is a rare opportunity to own the technical narrative from pre-sales discovery to go-live, championing best practices and influencing product strategy in a high-growth environment where your impact will be immediate and visible.
Responsibilities:
- Pre-Sales: Partner with GTM teams & work directly with customers to understand customer pain points, assess requirements and craft compelling technical narratives. Translate business objectives into feasible solution designs aligned with Sprout.ai’s capabilities and product roadmap. Support RFP responses, technical documentation, architecture diagrams, and customer-facing demo environments.
- Solution Design & Planning: Develop end-to-end technical architectures, integration patterns, and data exchange models for new customer implementations. Define and document interface specifications, API requirements, data mappings, and configuration needs. Act as the bridge between Sales, Product, and Engineering/Data Science to validate feasibility and identify dependencies early.
- Implementation & Delivery: Work closely with Engagement Managers and Engineering & Data Science teams during onboarding to ensure smooth execution of the agreed solution design. Participate in customer workshops, design reviews, and UAT support sessions as needed. Ensure solutions are delivered according to architecture best practice, with a focus on robustness, maintainability, and long-term success. Post-go-live, provide architectural oversight for enhancements, change requests, and optimisation opportunities, acting as a technical advisor to key customer stakeholders and internal teams.
Skills, Knowledge, And Experience:
- A proven track record of success in solution architecture, sales engineering, or technical consulting roles within enterprise software businesses.
- Strong understanding of enterprise integration patterns, APIs (REST/JSON), and data exchange models.
- Experience designing or delivering solutions that utilise LLMs, machine learning, data pipelines, or automation workflows.
- Ability to produce high-quality architecture diagrams, solution proposals, and technical documentation.
- Experience discovering, defining, calculating, and prioritising business value.
- Ability to translate complex technical concepts into business-friendly language for non-technical audiences.
- Exceptional communication, facilitation, and presentation skills.
- Strong requirement elicitation skills through a variety of techniques.
- Demonstrated success working in cross-functional teams.
Sprout.ai Values:
- Hungry for Growth: Sprouts embrace growth, forget comfort zones, and help Sprout.ai thrive.
- Own It, Deliver It: We commit, we deliver, and we exceed expectations - it’s how we achieve outstanding outcomes for our customers.
- Seed Innovation: The future is shaped by those who dare to innovate. We embrace this mindset, planting the seeds for future growth, experimenting fearlessly and taking bold actions that unleash our ability to scale.
- Collaborate to Blossom: We cultivate collaboration, working together to create a vibrant and diverse ecosystem where every Sprout can thrive. It drives better results, and creates a better environment for us all.
Compensation, Benefits And Perks:
- Strong Base Salary + Variable Compensation
- Sprout.ai Share Options
- Learning and Development budget
- Macbook Pro + home working setup
- Many more depending on location!
About Sprout.ai: Founded in London in 2018, Sprout.ai was born from a simple belief: insurers should be there for policyholders in their time of need. Long delays, manual processes and outdated systems meant customers were often left waiting weeks for outcomes at their most vulnerable moments. We set out to change that. Today, Sprout.ai is redefining insurance automation for insurers. Acting as the intelligence layer at the heart of operations, we bring advanced AI, digitisation, and data-driven processes to transform how claims and underwriting decisions are made. Our mission is to make every interaction between insurers and policyholders accurate, fast, and fair, and our vision is to become the world’s most trusted insurance intelligence partner, powering billions of safe, explainable decisions for global insurers. Sprout.ai integrates seamlessly into existing systems to deliver real-time claims automation and actionable insights, enabling expert teams to focus on complex cases with speed and empathy. Insurers use our platform to overcome legacy challenges, cost pressures, fraud risk, and regulatory demands, achieving tangible results including: Up to two-thirds of claims processed automatically, 99% accuracy, Significant gains in customer satisfaction and operational efficiency. Backed by leading insurers and recognised with industry awards and ISO 27001 certification, Sprout.ai is the insurance intelligence automation platform injecting insights into claims and underwriting — changing insurance, for good.
Solution Architect in London employer: Sprout.ai
Contact Detail:
Sprout.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their products, and think about how your skills can solve their problems. We want you to shine!
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies that highlight your past projects and successes. This is your chance to demonstrate how you can add value.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Solution Architect in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Solution Architect role. Highlight your experience with enterprise software, solution architecture, and any relevant projects that showcase your skills in translating technical concepts into business-friendly language.
Showcase Your Technical Skills: Don’t hold back on detailing your technical expertise! Include specifics about your experience with APIs, data exchange models, and any LLM or automation technologies you've worked with. This is your chance to shine!
Craft a Compelling Narrative: When writing your cover letter, tell a story that connects your past experiences to the responsibilities of the role. Explain how you’ve successfully partnered with teams and customers to deliver solutions that meet their needs.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get to know you better. Plus, it shows you’re serious about joining the Sprout.ai team!
How to prepare for a job interview at Sprout.ai
✨Know Your Tech Inside Out
As a Solution Architect, you'll need to demonstrate a strong grasp of enterprise integration patterns and APIs. Brush up on your knowledge of LLMs, machine learning, and data pipelines. Be ready to discuss how you've applied these technologies in past roles, as this will show your technical prowess and ability to translate complex concepts into business-friendly language.
✨Craft Compelling Narratives
Since you'll be guiding customers through technical discovery, practice crafting narratives that clearly outline how your solutions address their pain points. Prepare examples of how you've successfully translated business objectives into feasible solution designs, and think about how you can present these in a way that resonates with non-technical audiences.
✨Showcase Your Collaboration Skills
This role requires working closely with cross-functional teams, so be prepared to share experiences where you've effectively collaborated with Sales, Product, and Engineering. Highlight specific instances where your communication and facilitation skills led to successful project outcomes, as this will demonstrate your ability to bridge gaps between different departments.
✨Prepare for Real-World Scenarios
Expect to engage in discussions about real-world implementation challenges. Think of scenarios where you've had to ensure smooth execution of a solution design or provide architectural oversight post-go-live. Being able to articulate your approach to problem-solving and optimisation will showcase your readiness for the role and your commitment to delivering outstanding outcomes.