Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and present AI solutions, manage technical integrations, and multitask on various projects.
- Company: Join V7, a top-ranked AI company transforming knowledge into powerful solutions for Fortune 500 clients.
- Benefits: Enjoy a competitive salary, equity options, private healthcare, and generous holiday leave.
- Why this job: Be part of a high-performing team, solve complex problems, and make a real impact in AI.
- Qualifications: 5+ years in solutions architecture, strong Python skills, and experience with LLM projects required.
- Other info: Flexible hybrid working, learning budget, and opportunities to attend major conferences.
The predicted salary is between 76000 - 104000 £ per year.
V7 turns human knowledge into trustworthy AI, powering products that solve our hardest problems. Our platform lets customers build no-code AI workflows that solve knowledge work with V7 Go, and leverage expert humans to improve frontier AI model knowledge with V7 Darwin. V7 were recently ranked No 1 in Sifted's top B2B companies for 2024 and raised a $33m Series A including the AI Fund @ Radical Ventures. We are backed by some of the best minds in AI, from Ashish Vaswani (Invented Transformers, the basis of GPT) Oriol Vinyals (Google Deepmind and Gemini co-lead), Christian Szegedy (X.ai) and AI leadership at Amazon, X, Isomorphic, and Google. V7 is used to power AI's rollout at Fortune 500 organisations including Sony, Boston Scientific and Genentech.
About the role:
As a Senior AI Solutions Engineer, you collaborate with sales teams to ensure key V7 customers achieve twice the impact in half the time. You will thrive on understanding technical leaders' challenges and requirements and delivering complex solutions and POVs. You are a prototyper at heart with a gift of talking to customers, building relationships, and solving technical problems with repeatability.
You will join a high-performing team of four, supporting the wider sales team on key deals and customer proof-of-values. V7 is a self-serve product; however, complex problems sometimes require complex solutions that customers don't always see - that's where you come in.
What you will be doing:
- Solutions development and presentation: You will develop and present workflow implementations within V7 that combine prompt engineering, data ingestion pipelines, and format conversions, solving customer problems in image recognition, document processing, product development, and more. You will present your findings to customers alongside sales.
- Technical integrations: You will work with our product team to assist with the integration of new models and ML-Ops tools into V7.
- Marketplace Integration: Develop and maintain the integration into major cloud marketplaces so users can more easily set up V7 on their cloud of choice.
- Time management: Multi-task between up to 5 simultaneous projects delivered in short timeframes. You are a skilled multi-tasker and familiar with project management tools like Linear.
Who you are:
- Experience delivering Large Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, SFT (Supervised Fine-Tuning), prompt engineering, RAG (Retrieval-augmented generation), and/or measuring AI accuracy.
- Five years+ experience in solutions architecture or integrating multiple applications/data streams, or ML development within customer-facing roles.
- Strong experience with Python.
- University degree in computer science, engineering, mathematics, or related fields.
- Solutioning: ability to develop and articulate an AI solution vision to technical and business stakeholders with customers and partners to match value proposition to business needs.
- Thrived as another fast-paced SaaS startup or scale-up during a high-growth phase.
Preferred to have:
- Expertise with langchain and similar tools for multimodal AI projects.
What's in it for you:
- £95 -130k base salary with £25k additional commission
- Top 15% quartile equity options plan through an EMI scheme
- Private Healthcare via Vitality for our UK employees, or equivalent allowance outside of UK
- Pension contribution through Nest
- £800 Learning and Development budget
- Apple MacBook suitable for your role
- Monthly wellbeing and mental health budget via ThanksBen
- Personalised benefits platform via Thanks Ben
- Enhanced Parental Leave
- 30 days holiday, plus an additional day for every year of service with V7, plus Bank Holidays on top
- 4-day company-wide and 4-day departmental retreats in stunning locations
- Hybrid working with flexibility, role dependent
- Temporary work from anywhere for one month in the calendar year
- Paid tickets, accommodation, and travel to relevant conferences, nationally or internationally (NeurIPS, ICCV, CVPR, ...) to expand your network & knowledge during normal times
What's the interview process:
- 1st recruiter screen with Sr Talent Acquisition Manager
- 2nd Peer interview
- 3rd Hiring Manager interview
- 4th Product and technical test
Contact Detail:
V7 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Solutions Engineer
✨Tip Number 1
Familiarise yourself with V7's products and their applications in AI. Understanding how V7 Go and V7 Darwin work will help you articulate your insights during interviews, showcasing your genuine interest and knowledge about the company.
✨Tip Number 2
Network with current or former employees of V7 on platforms like LinkedIn. Engaging in conversations can provide you with insider knowledge about the company culture and expectations, which can be invaluable during your interviews.
✨Tip Number 3
Prepare to discuss specific examples of your experience with Large Language Models and solutions architecture. Be ready to explain how you've tackled complex technical challenges in previous roles, as this will demonstrate your problem-solving skills and relevance to the position.
✨Tip Number 4
Brush up on your Python skills and any relevant tools like langchain. Being able to showcase your technical proficiency during the interview process will set you apart from other candidates and align with the role's requirements.
We think you need these skills to ace Senior AI Solutions Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI solutions, particularly with Large Language Models and Python. Emphasise any previous roles where you collaborated with sales teams or developed complex solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with V7's mission. Mention specific projects you've worked on that demonstrate your ability to solve technical problems and deliver impactful solutions.
Showcase Technical Skills: Clearly outline your technical expertise in areas such as prompt engineering, ML-Ops tools, and data ingestion pipelines. Use examples from past experiences to illustrate your proficiency and problem-solving abilities.
Prepare for the Interview Process: Familiarise yourself with V7's products and recent developments in the AI field. Be ready to discuss how you would approach integrating new models and tools into their platform, as well as your experience with project management in fast-paced environments.
How to prepare for a job interview at V7
✨Understand the Role
Make sure you have a solid grasp of what a Senior AI Solutions Engineer does. Familiarise yourself with V7's products and how they solve customer problems, especially in areas like image recognition and document processing.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Large Language Models, Python, and any relevant tools like langchain. Highlight specific projects where you've successfully integrated complex solutions or worked with ML-Ops tools.
✨Demonstrate Problem-Solving Abilities
During the interview, be ready to present examples of how you've tackled technical challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Engage with the Interviewers
Remember that interviews are a two-way street. Ask insightful questions about V7's future projects, team dynamics, and how they measure success. This shows your genuine interest in the role and the company.
