At a Glance
- Tasks: Design scalable AI solutions and collaborate with clients to meet their enterprise needs.
- Company: Leading tech firm focused on innovative AI and cloud solutions.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of enterprise technology with AI.
- Qualifications: 10+ years in tech, with strong skills in architecture and cloud platforms.
- Other info: Work with global clients and cutting-edge technologies in a collaborative environment.
The predicted salary is between 72000 - 108000 £ per year.
Responsibilities
- Translate complex business requirements into scalable, secure, and modular enterprise solutions.
- Define Solution architectures leveraging EIQ Platform features and best practices in micro services, API-first design, and low-code/no-code integration.
- Advise on system design patterns, data architecture, and performance optimization for evolving enterprise needs.
Client and Partner Collaboration
- Lead architecture workshops, requirement analysis sessions, and technical discussions with enterprise customers and system integration partners.
- Partner with Sales, Product, and Engineering teams to design proof-of-concepts and solution accelerators.
- Deliver engaging technical presentations, solution walkthroughs, and architecture artifacts that articulate business value and technical excellence.
Enterprise Integration & AI Enablement
- Design and implement integrations across CRM, ERP, Data Platforms, and custom applications using APIs, message queues, and middleware.
- Stay current with emerging AI and automation trends, including generative AI, agentic automation, and data-driven decision systems—translating these capabilities into enterprise-ready solutions on the client platform.
Cloud Architecture and Operations
- Architect and deploy enterprise solutions leveraging Azure, AWS, and GCP services.
- Apply knowledge of cloud-native design, Kubernetes, container orchestration, CI/CD pipelines, and DevOps practices.
- Drive cost optimization, scalability, and security across hybrid and multi-cloud environments.
What will you bring to the team?
- 10 to 12 years of technology experience with at least 3 years in enterprise or solution architecture roles.
- Proven experience designing and implementing large-scale, secure, and modular enterprise systems.
- Expertise in enterprise architectural frameworks, microservices, and API design.
- Strong understanding of enterprise integration tools, REST and message based communication patterns, and data orchestration.
- Hands-on technical experience across at least two major cloud platforms (Azure, AWS, GCP).
- Familiarity with AI-driven applications, automation platforms, or ML data pipelines.
- Excellent leadership, communication, and stakeholder management skills across business and technical audiences.
- Experience working with global clients and partner ecosystems in presales or consulting roles.
- Background in BPM with Virtual Private Cloud (VPC) architecture, or platform engineering environments.
Solution Architect - AI and Presales in London employer: Test Yantra
Contact Detail:
Test Yantra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect - AI and Presales in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in roles similar to the Solution Architect position. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio that highlights your past projects, especially those involving enterprise solutions and cloud architecture. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to solution architecture and AI integration. Use mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive job listings that might not be found elsewhere. Plus, it shows your genuine interest in joining our team!
We think you need these skills to ace Solution Architect - AI and Presales in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in enterprise architecture and AI solutions. We want to see how your skills align with the responsibilities listed in the job description.
Showcase Your Technical Skills: Don’t hold back on detailing your hands-on experience with cloud platforms like Azure, AWS, or GCP. We’re looking for specific examples of how you’ve designed scalable solutions and integrated systems in your previous roles.
Highlight Collaboration Experience: Since client and partner collaboration is key, share instances where you’ve led workshops or technical discussions. We love to see how you’ve worked with cross-functional teams to deliver value.
Keep It Engaging: Your application should be engaging and reflect your personality. Use clear language and structure to make it easy for us to see your passion for technology and innovation. Remember, apply through our website for the best chance!
How to prepare for a job interview at Test Yantra
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around cloud platforms like Azure, AWS, and GCP. Brush up on microservices, API design, and enterprise integration tools so you can confidently discuss how you've applied these in past roles.
✨Prepare for Scenario-Based Questions
Expect to tackle scenario-based questions that assess your problem-solving skills. Think of specific examples where you’ve translated complex business requirements into scalable solutions or led architecture workshops. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Showcase Your Collaboration Skills
Since this role involves working closely with sales, product, and engineering teams, be ready to share experiences where you successfully collaborated with cross-functional teams. Highlight any instances where your communication skills helped bridge gaps between technical and non-technical stakeholders.
✨Stay Updated on AI Trends
Given the focus on AI and automation, demonstrate your knowledge of current trends in these areas. Be prepared to discuss how you would implement AI-driven solutions and how they can add value to enterprise systems. This shows you’re not just technically savvy but also forward-thinking.