At a Glance
- Tasks: Lead technical delivery and pre-sales for innovative AI solutions at Sprout.ai.
- Company: Join a fast-growing tech company revolutionising insurance automation.
- Benefits: Competitive salary, share options, learning budget, and a MacBook Pro.
- Why this job: Shape the future of insurance with cutting-edge technology and make a real impact.
- Qualifications: Experience in solution architecture and strong communication skills required.
- Other info: Dynamic hybrid work environment with opportunities for travel and 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 employer: Sprout.ai
Contact Detail:
Sprout.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects and achievements. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to solution architecture. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Solution Architect
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 specific examples of your work with APIs, data exchange models, and any experience with LLMs or automation workflows. This is your chance to shine and show us how you can bridge the gap between tech and business.
Communicate Clearly: Remember, we want to see your exceptional communication skills right from your application. Use clear, concise language and avoid jargon where possible. We’re looking for someone who can make complex ideas easy to understand for non-technical audiences.
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. Plus, it shows us you’re keen to be part of the Sprout.ai family!
How to prepare for a job interview at Sprout.ai
✨Know Your Stuff
Make sure you have a solid understanding of enterprise integration patterns, APIs, and data exchange models. Brush up on your knowledge of LLMs and machine learning, as you'll need to demonstrate how these technologies can be applied in real-world scenarios during the interview.
✨Craft Your Technical Narrative
Prepare to discuss how you would translate customer pain points into compelling technical solutions. Think about specific examples from your past experience where you've successfully designed solutions that align with business objectives, and be ready to share those stories.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, be prepared to talk about your experiences collaborating with sales, product, and engineering teams. Highlight instances where your communication and facilitation skills made a difference in project outcomes.
✨Ask Insightful Questions
Demonstrate your interest in the role by asking thoughtful questions about Sprout.ai’s architecture, product roadmap, and company culture. This not only shows your enthusiasm but also helps you gauge if the company aligns with your values and career goals.