Engineering AI Solutions Architect

Engineering AI Solutions Architect

Full-Time 67500 - 82500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Transform business challenges into innovative AI solutions and lead the pre-sales process.
  • Company: Neural Concept, a forward-thinking tech company in the UK.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with exciting projects and career advancement potential.
  • Why this job: Be at the forefront of AI technology and make a significant impact on client success.
  • Qualifications: Strong engineering background and excellent communication skills.

The predicted salary is between 67500 - 82500 £ per year.

Neural Concept in the UK seeks a Solutions Engineer who bridges engineering credibility and strategic influence.

You translate a VP’s business challenge into a concrete AI solution and drive the full pre-sales motion from discovery to signed SOW, serving as the technical compass through the client lifecycle.

You collaborate with Sales and the Forward Deployed Engineering team to shape expansion opportunities, deliver tailored demos, and ensure adoption across engineers, managers and executives.

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Engineering AI Solutions Architect employer: Neural Concept

Neural Concept is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and engineering. With a strong focus on employee growth, you will have the opportunity to engage with leading firms while enjoying the flexibility of a hybrid role across vibrant locations like London and Cambridge. Our commitment to strategic development and collaboration ensures that you will be part of a forward-thinking team dedicated to shaping the future of enterprise software sales.

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Contact Details:

Neural Concept Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Engineering AI Solutions Architect

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Neural Concept or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Neural Concept.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Neural Concept.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Neural Concept that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Engineering AI Solutions Architect

AI Solutions Architecture
Pre-sales Engineering
Business Analysis
Technical Communication
Client Lifecycle Management
Collaboration with Sales Teams
Demo Delivery

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Neural Concept.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Neural Concept and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Neural Concept

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Neural Concept uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.