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- Tasks: Join us as an AI Solutions Engineer, driving business value and expanding accounts with cutting-edge tech.
- Company: Remote-first company with offices in NYC and San Francisco, focused on innovation.
- Benefits: Competitive salary, equity package, unlimited PTO, and comprehensive health benefits.
- Other info: Dynamic role with opportunities for growth and learning in a fast-paced environment.
- Why this job: Be a trusted advisor in AI, working with top ML teams and making a real impact.
- Qualifications: Experience in ML/GenAI, cloud environments, and strong communication skills required.
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 in London employer: Arize AI
Contact Detail:
Arize AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Engineer, EMEA in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. We can’t stress enough how important it is to build relationships with people who might help you land that AI Solutions Engineer gig.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a few projects that highlight your experience with ML and GenAI. Demos are key, so practice presenting them clearly to both technical and business audiences – we want to see your communication skills shine!
✨Tip Number 3
Research the company! Understand their products and how they use AI solutions. When you know what they’re about, you can tailor your conversations to show how you can add value – trust us, it makes a difference!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Solutions Engineer, EMEA in London
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 your experience with ML models, GenAI applications, and any relevant programming languages to catch our eye!
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 can contribute to our team. Be genuine and let your personality come through.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention specific frameworks like TensorFlow or PyTorch, and share examples of how you've used them in real-world scenarios. We love seeing practical applications of your knowledge.
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’re considered for the role. Plus, it shows you’re keen on joining 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 client obsession and how you’ve driven business value through your technical expertise.
✨Prepare for Technical Demos
Since you'll be providing product demos, practice presenting your technical projects or solutions. Make sure you can clearly explain the benefits and functionalities to both technical and business stakeholders, as this will be crucial in your role.