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- Tasks: Guide customers through their AI journey and ensure successful adoption.
- Company: Fast-growing AI infrastructure start-up with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI, helping businesses unlock their potential.
- Qualifications: Experience in AI/ML solutions and customer-facing roles.
- Other info: Join a diverse team shaping the future of AI technology.
The predicted salary is between 60000 - 80000 £ per year.
AI is reshaping how businesses operate, from powering intelligent assistants to unlocking deeper insights from data. But while many companies are investing in AI, not all of them know how to fully realise its value.
We’re looking for an AI Solutions Engineer who enjoys working closely with customers, helping them move from implementation to true adoption and success. In this role, you’ll act as a trusted partner to customers, helping them navigate their AI journey and get the most out of the platform.
- Guide customers through implementation and ongoing adoption
- Lead both technical discussions with data scientists and engineers, and strategic conversations with senior stakeholders
- Drive customer success by ensuring clients feel confident, supported, and excited about what they’re building
- Advising customers on GenAI and machine learning best practices
- Running strategic business reviews alongside the sales team
- Partnering closely with pre-sales to ensure a smooth customer journey
- Identifying opportunities to grow and expand within existing accounts
Hands-on experience as a Data Scientist, ML Engineer, or working with AI/ML solutions in production. Strong understanding of the ML lifecycle (feature engineering, training, deployment, real-time scoring). Experience in a customer-facing role (Solutions Architect, Sales Engineer, Consultant, Customer Success, etc.).
This is a really exciting opportunity to join a company at the forefront of AI, where you’ll play a key role in helping customers succeed and scale their AI initiatives.
If you enjoy working at the intersection of technology and people, and want to be part of a team that’s genuinely shaping how AI is used in the real world this could be a great fit.
We encourage underrepresented talent to apply to all our roles & support accessibility needs.
AI Solutions Engineer (Post Sales) employer: Primis
Contact Detail:
Primis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Engineer (Post Sales)
✨Tip Number 1
Get to know the company inside out! Research their AI solutions, recent projects, and customer success stories. This will help you tailor your conversations and show that you're genuinely interested in how they operate.
✨Tip Number 2
Practice your technical discussions! Brush up on your knowledge of machine learning and AI best practices so you can confidently engage with data scientists and engineers during interviews. We want to see you shine!
✨Tip Number 3
Don’t forget about the soft skills! Being able to communicate effectively with senior stakeholders is key. Prepare examples of how you've successfully navigated similar conversations in the past.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re serious about joining our team and making an impact in the AI space.
We think you need these skills to ace AI Solutions Engineer (Post Sales)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Solutions Engineer role. Highlight any customer-facing roles and your hands-on experience with AI/ML solutions to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about AI and how you can help customers succeed. Share specific examples of how you've guided clients through technical discussions or strategic conversations in the past.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! We want to see your understanding of the ML lifecycle and any relevant projects you've worked on. This is your chance to impress us with your knowledge!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Primis
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, GenAI, and machine learning best practices. Be ready to discuss the ML lifecycle in detail, as well as any hands-on experience you've had with data science or ML solutions. This will show that you’re not just familiar with the concepts but can also apply them in real-world scenarios.
✨Customer-Centric Mindset
Since this role is all about helping customers succeed, think about how you can demonstrate your customer-facing experience. Prepare examples of how you've guided clients through technical discussions or strategic conversations, and how you’ve ensured they feel confident and supported during their journey.
✨Prepare for Technical and Strategic Questions
Expect a mix of technical questions and strategic discussions during your interview. Practice articulating complex technical concepts in a way that’s easy for non-technical stakeholders to understand. This will highlight your ability to bridge the gap between tech and business, which is crucial for this role.
✨Show Your Passion for AI
Let your enthusiasm for AI and its potential shine through. Share your thoughts on how AI is reshaping industries and why you’re excited about being part of this fast-growing field. This passion can set you apart and show that you’re genuinely invested in helping customers succeed with their AI initiatives.