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- Tasks: Design and validate AI-native architectures while leading technical engagements.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Enjoy competitive pay, health benefits, and generous paid time off.
- Why this job: Make an impact in the AI field and work with cutting-edge technologies.
- Qualifications: 2+ years in solution architecture and strong AI/ML knowledge required.
- Other info: Flexible remote work with opportunities for professional growth.
The predicted salary is between 108000 - 142560 £ per year.
The Technical Solution Architect will design and validate AI-native architectures, lead technical engagements, and provide cutting-edge insights to support presales and delivery success. This role combines hands-on technical expertise with strategic collaboration to accelerate adoption of AI-native engineering practices.
Responsibilities
- Architecture & Solution Design: Lead presales architecture design and proof-of-concept (POC) initiatives for AI-native solutions. Create reusable solution templates and reference architectures, including labs in WWT’s AI Proving Ground. Ensure successful handoff of solutions to delivery teams.
- Technology Integration: Design AI-native engineering patterns across major cloud platforms (Azure, AWS, GCP). Guide integration of AI tools into SDLC and DevOps pipelines for clients.
- Research & Competitive Intelligence: Conduct deep research on AI-native tools and frameworks to determine best fit for customer environments. Produce formal reports and actionable insights for leadership and presales teams.
- Collaboration: Partner with AI Advisors, Business Development Managers, sales account teams, and delivery-focused solution architects on client-facing engagements. Participate in internal enablement and training sessions as needed.
- Performance & Impact: Deliver POCs that influence opportunities and closed deals. Create technical artifacts that support enablement and presales success. Contribute to internal knowledge-sharing and best practices.
Qualifications
- Experience: Minimum 2 years in solution architecture or presales engineering, or equivalent customer-facing technical leadership experience. High comfort level with AI/ML concepts and tools; ability to stay on the cutting edge of emerging technologies.
- Technical Depth: Hands-on experience with AI frameworks and architecture design, specifically with AI Coding Assistants (Cursor, Github, Windsurf, etc). Strong knowledge of cloud platforms (Azure, AWS, GCP) and integration patterns. No certifications required.
- Soft Skills: Ability to simplify complex technical concepts for diverse audiences (preferred). Strong presentation skills for client workshops and technical discussions (required).
- Other Requirements: Limited travel (10–20% annually) for client engagements and POCs. No location restrictions.
We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!
Technical Solutions Architect - AI Native Engineering employer: World Wide Technology
Contact Detail:
World Wide Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Solutions Architect - AI Native Engineering
✨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 or a GitHub repository showcasing your AI-native projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI solutions. We recommend doing mock interviews with friends or using online platforms 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 seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Technical Solutions Architect - AI Native Engineering
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI-native architectures and cloud platforms. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Show Off Your Technical Skills: Since this role is all about technical expertise, be sure to include specific examples of your hands-on experience with AI frameworks and architecture design. We love seeing how you’ve tackled challenges in previous roles!
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain complex concepts, as we value the ability to communicate effectively with diverse audiences. Remember, less is often more!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at World Wide Technology
✨Know Your AI-Native Stuff
Make sure you brush up on the latest AI frameworks and architecture design. Familiarise yourself with tools like Cursor, Github, and Windsurf, as well as cloud platforms like Azure, AWS, and GCP. Being able to discuss these confidently will show that you're not just a candidate, but a potential expert.
✨Prepare for Technical Discussions
Expect to dive deep into technical conversations during your interview. Prepare to explain complex concepts in simple terms, as this role requires you to communicate effectively with diverse audiences. Practising your presentation skills can really help you shine here.
✨Showcase Your Collaboration Skills
This position involves working closely with various teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight any experiences where you partnered with sales or delivery teams to achieve a common goal, as this will demonstrate your ability to work well in a team environment.
✨Research the Company and Its Culture
Before the interview, take some time to understand the company's values and culture. Knowing about their commitment to innovation and collaboration will allow you to tailor your responses and show that you're a great fit for their team. Plus, it’ll give you some solid talking points!
