Solution Engineer - AI

Solution Engineer - AI

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Guide clients on applying AI solutions and design prototypes to showcase value.
  • Company: Global professional services organisation investing heavily in AI.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovative AI applications.
  • Why this job: Combine technical skills with commercial influence in a high-impact role.
  • Qualifications: Experience in AI, client-facing roles, and solution architecture.

The predicted salary is between 80000 - 100000 £ per year.

The Opportunity

We’re working with a global professional services organisation investing heavily in AI, looking to hire a Senior Manager AI Solution Engineer to join a growing, high-impact team. This is not a traditional engineering role. It’s a client-facing, front-end position focused on shaping how Generative AI and LLM solutions are applied in real enterprise environments, working closely with sales teams, architects, and clients to design, prototype, and demonstrate solutions that deliver measurable business value. If you enjoy combining technical depth with commercial influence, this is a rare opportunity to do both.

What You’ll Be Doing

  • Act as a trusted advisor to enterprise clients, guiding them on how to apply AI and GenAI effectively
  • Work alongside sales and industry teams to shape AI use cases and solution strategies
  • Design and build prototypes / proofs of concept (POCs) to demonstrate solution value
  • Translate complex technical concepts into clear, business-focused narratives
  • Support early-stage engagements by showcasing AI capability in proposals and client discussions
  • Guide decisions around architecture, feasibility, scalability, and cost
  • Bridge the gap between business needs and technical delivery teams

What They’re Looking For

Core Experience
  • Strong background in AI / Machine Learning / Data Science / Solution Architecture
  • Experience in client-facing roles — presales, consulting, or solution engineering
  • Proven ability to shape enterprise-level software or AI solutions

Solution Engineer - AI employer: ANSON MCCADE

Join a leading global professional services organisation that prioritises innovation and employee development in the heart of London. With a hybrid work model, you will thrive in a collaborative culture that values your insights and fosters growth through hands-on experience in AI solutions. Enjoy competitive benefits and the unique opportunity to influence how cutting-edge technology is applied in real-world scenarios, making a tangible impact on enterprise clients.
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Contact Detail:

ANSON MCCADE Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Solution Engineer - AI

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend AI meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that dream role.

✨Tip Number 2

Showcase your skills! Create a portfolio of your AI projects or prototypes. When you can demonstrate your ability to design and build solutions, it’ll make you stand out in interviews.

✨Tip Number 3

Prepare for client-facing scenarios. Practice how you’d explain complex AI concepts in simple terms. Being able to communicate effectively with clients is key in this role, so get comfortable with storytelling.

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in the AI space. Your next opportunity could be just a click away!

We think you need these skills to ace Solution Engineer - AI

AI
Generative AI
Large Language Models (LLMs)
Solution Architecture
Client-Facing Skills
Presales Experience
Consulting Skills
Prototyping
Proofs of Concept (POCs)
Technical Communication
Business Acumen
Scalability Assessment
Feasibility Analysis
Cross-Functional Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of Solution Engineer - AI. Highlight your experience in AI, client-facing roles, and any relevant projects that showcase your ability to bridge technical and business needs.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a perfect fit for this position. Be sure to mention specific experiences that align with the job description.

Showcase Your Technical Skills: In your application, don’t shy away from detailing your technical expertise in AI and Machine Learning. We want to see how you can translate complex concepts into business value, so give us examples!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity!

How to prepare for a job interview at ANSON MCCADE

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI, Generative AI, and LLMs. Be ready to discuss how these technologies can be applied in real-world scenarios. Think about specific examples where you've used or seen these technologies make a difference.

✨Showcase Your Client-Facing Skills

Since this role is client-facing, prepare to demonstrate your experience in consulting or presales. Share stories that highlight your ability to communicate complex technical concepts in a way that resonates with clients. Practice explaining your past projects in simple terms.

✨Prototype Like a Pro

Get ready to talk about your experience with designing and building prototypes or proofs of concept. If you have any relevant examples, be sure to bring them up. Discuss the process you followed and how you ensured the solutions delivered measurable business value.

✨Bridge the Gap

This role requires you to connect business needs with technical delivery. Prepare to discuss how you've successfully navigated this gap in previous roles. Think about how you can articulate the importance of aligning technical solutions with business objectives during your interview.

Solution Engineer - AI
ANSON MCCADE
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