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For Companies At a Glance
- Tasks: Join a dynamic team to drive AI solutions and build strong client relationships.
- Company: Innovative tech company focused on AI and machine learning.
- Benefits: Competitive salary, equity package, unlimited PTO, and wellness support.
- Other info: Remote-first culture with opportunities for career growth and learning.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in ML/GenAI, strong programming skills, and excellent communication.
The predicted salary is between 100000 - 130000 £ per year.
We are looking for a client‑obsessed AI Solutions Engineer with entrepreneurial tendencies to join our Solutions Engineering organization. The role involves acting as a trusted technical advisor, driving business value, and expanding accounts.
Responsibilities
- Work closely with sophisticated ML / GenAI teams.
- Act as a trusted advisor, building relationships with technical and business stakeholders.
- Advise on GenAI and ML best practices.
- Provide ML and LLM product demos to technical and business stakeholders.
- Run strategic business reviews for customers in partnership with the sales team.
- Interface with pre‑sales engineering to gather client goals and KPIs.
- Partner with product and engineering teams to drive the product roadmap.
- Spearhead new opportunities within existing accounts to drive expansion.
Qualifications
- Previous experience as a Data Scientist, Machine Learning Engineer, or Engineer working with ML models or GenAI applications in production.
- Comfortable working in public cloud environments (AWS, Azure, GCP).
- Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
- Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy.
- Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real‑time scoring via REST APIs) and engineering considerations.
- Understanding of GenAI concepts and application evaluation + development lifecycle.
- Proficiency in a programming language (Python, JavaScript/TypeScript, Java, Go, etc.).
- Strong communication skills – ability to simplify complex technical concepts.
- Quick self‑learner, undaunted by technical complexity of production ML deployments and eager to learn and develop personal POV.
Bonus Points
- Previous engineering experience in: Data Science, MLOps, ML Frameworks, LLM / Agentic frameworks.
- Customer‑facing experience – Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles.
- Prior experience with Kubernetes deployments.
- Prior experience demoing technical products to both business and technical audiences.
Compensation & Benefits
The estimated annual salary and variable compensation for this role is between $125,000 and $175,000, plus a competitive equity package. Total compensation also includes a comprehensive benefit package: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave, and other mental and wellness support. Remote‑first company. Offices in New York City and San Francisco Bay Area are open for employees located there. A monthly stipend to pay for co‑working spaces is provided for all other employees.
AI Solutions Engineer, EMEA employer: Arize AI
Contact Detail:
Arize AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Engineer, EMEA
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects, especially those related to ML and GenAI. 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 technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you'll perform when it counts!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace AI Solutions Engineer, EMEA
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Solutions Engineer role. Highlight your experience with ML models, GenAI applications, and any relevant programming languages. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI solutions and how your entrepreneurial spirit aligns with our mission at StudySmarter. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Don’t shy away from showcasing your technical prowess! Mention specific projects where you've used ML frameworks or worked in cloud environments. We’re looking for someone who can hit the ground running, so let us know what you’ve done!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join the StudySmarter family!
How to prepare for a job interview at Arize AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the machine learning frameworks mentioned in the job description, like TensorFlow and PyTorch. Brush up on GenAI concepts and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Communication Skills
As a trusted advisor, you'll need to simplify complex technical concepts for various stakeholders. Prepare examples of how you've successfully communicated technical information to non-technical audiences in the past.
✨Demonstrate Your Client-Focused Mindset
Think about times when you've gone above and beyond for clients. Be ready to share specific examples that highlight your ability to build relationships and drive business value, as this role is all about being client-obsessed.
✨Prepare for Technical Demos
Since you'll be providing product demos, practice presenting your technical knowledge in a clear and engaging way. Consider creating a mock demo to showcase your skills and get comfortable with explaining ML and LLM products to both technical and business stakeholders.