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For Companies At a Glance
- Tasks: Lead AI solutions, engage with customers, and build innovative proof-of-concepts.
- Company: Join a mission-driven global team at Andela, a leader in tech solutions.
- Benefits: Enjoy remote work flexibility, competitive salary, and career growth opportunities.
- Why this job: Make a real impact in AI while collaborating with diverse teams.
- Qualifications: 5-10 years in software engineering and customer-facing roles required.
- Other info: Work remotely from major EU cities with a focus on innovation.
The predicted salary is between 36000 - 60000 £ per year.
Please note that this role is open to candidates who are +-5 hours from East Coast US timezones.
Reporting to the Head of AI Solutions Incubation, the Solution Engineer is Andela's technical solutions lead. This hands-on role involves embedded customer engagement for discovery, solution architecture, building proof-of-concepts (POCs), and securing technical wins. You bridge customer needs with Andela's delivery capability. This is a high-impact, 0-to-1 opportunity, with executive visibility, strong market timing, career growth, and a mission-driven global team.
Exceptional Leadership
As an Andelan, you'll serve as a role model for the rest of the company. Think about the feedback you usually receive – if it sounds like the below, we want to hear from you.
- Low ego, low drama, servant leader: You share credit, take blame. You like being wrong because it means someone else had an even better idea.
- One team mentality: You break silos across teams. You put the company and mission first above your team alone.
- Great listener, hungry for feedback: You're always seeking to improve – our product, our business, yourself. You solicit diverse opinions and deeply listen.
- Owner, not renter: You see a problem, you fix it or find someone who will. The buck stops with you.
- Player-coach: You fly high (create strategy) AND low (know the details that matter). You roll up your sleeves and get scrappy. You do this proactively collaborating with your team while actively engaging in important details.
- Business problem solver: You're not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems.
Key Responsibilities (Time Allocation)
- Solutions Discovery & Scoping (25-30%): Lead discovery, map workflows, identify pain points, document technical environments, and assess feasibility.
- Solution Architecture & Design (20-25%): Design custom architectures, create technical diagrams, and develop/present technical proposals.
- Proof-of-Concept Development (20-25%): Build working POCs with production-quality code, integrate with customer systems, and iterate based on feedback.
- Technical Leadership (10-15%): Own the technical win, provide expertise, and build customer confidence.
- Delivery Handoff & Support (20-30%): Scope size and composition of delivery team. Transfer context to the delivery team, support kickoff, and monitor critical phases.
- Product Feedback Loop (5-10%): Identify solution gaps, propose new Solution Packages, and share competitive intelligence.
Success Metrics: POC wins, clear scoping, successful handoffs, influenced pipeline ($1M-$2M at 6 months), and contribution to Solution Package playbooks.
Required Qualifications
- 5-10 years software engineering, 3+ years customer-facing technical roles, proven pre-sales track record.
- Technical Skills: Full-stack engineering, deep experience in Cloud (AWS, GCP, or Azure), System Architecture, API Development, Data Engineering, DevOps (CI/CD, Docker/K8s), and AI/ML fundamentals (preferred).
- Customer-Facing: Executive presence, technical credibility, strong communication, structured problem-solving, and negotiation skills.
Preferred Qualifications
- Experience in top consulting/boutique tech firms.
- Startup/scale-up experience.
- Domain expertise (one or more of FinTech, SaaS, Healthcare, etc.).
- AI solutions (LLM/RAG) and industry certifications.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: IT Services and IT Consulting
Location: Remote, EU — London/Berlin/Amsterdam Metro. London, England, United Kingdom.
AI Solutions Architect in London employer: Andela
Contact Detail:
Andela Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions 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
Show off your skills! Create a portfolio of your work, especially any POCs or projects that highlight your problem-solving abilities. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI solutions. Think about how you can demonstrate your leadership and technical skills during the conversation.
✨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 AI Solutions Architect in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Solutions Architect role. Highlight your relevant experience in software engineering and customer-facing roles, and don’t forget to mention any specific projects that showcase your skills in solution architecture and proof-of-concept development.
Showcase Your Leadership Style: We want to see how you embody the exceptional leadership qualities we value at Andela. Share examples of how you've been a servant leader, fostered a one-team mentality, and actively sought feedback to improve both yourself and your team.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and structure your thoughts logically. This will help us quickly understand your qualifications and how you can contribute to our mission-driven global team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Andela
✨Know Your Tech Inside Out
As an AI Solutions Architect, you need to be well-versed in full-stack engineering and cloud technologies like AWS, GCP, or Azure. Brush up on your technical skills and be ready to discuss how you've applied them in real-world scenarios, especially in customer-facing roles.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to solve complex business problems. Think about times when you identified pain points for clients and how you designed solutions that addressed those issues. This will demonstrate your value as a business problem solver.
✨Emphasise Team Collaboration
Andela values a one-team mentality, so be ready to discuss how you've broken down silos in previous roles. Share stories that illustrate your experience in collaborating with cross-functional teams and how you’ve contributed to a shared mission.
✨Be a Great Listener
During the interview, show that you're hungry for feedback and open to diverse opinions. Ask insightful questions about the company’s challenges and listen carefully to their responses. This will not only help you understand their needs but also showcase your leadership qualities.
