Enterprise AI Solutions Engineer in London

Enterprise AI Solutions Engineer in London

London Full-Time 180000 - 180000 € / year (est.) No home office possible
We Source Talent

At a Glance

  • Tasks: Manage AI agent builds and ensure high-performance outcomes for major clients.
  • Company: We Source Talent, a forward-thinking company in the AI space.
  • Benefits: Competitive salary up to £180k plus additional benefits.
  • Other info: Collaborative environment with opportunities for growth and innovation.
  • Why this job: Join a new team and make an impact in the exciting world of AI.
  • Qualifications: Expertise in Python and experience in customer-facing roles required.

The predicted salary is between 180000 - 180000 € per year.

We Source Talent is seeking a skilled professional to join a new team focused on AI agent execution. This role involves end-to-end management of AI agent builds for major clients, requiring expertise in Python and a strong track record in customer-facing positions.

The ideal candidate will collaborate with cross-functional teams to drive technical delivery, ensuring high-performance outcomes in real-world environments.

Competitive salary of up to £180k plus benefits available.

Enterprise AI Solutions Engineer in London employer: We Source Talent

At We Source Talent, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As an Enterprise AI Solutions Engineer, you will have access to competitive salaries, comprehensive benefits, and ample opportunities for professional growth within a collaborative environment. Join us in shaping the future of AI technology while enjoying the unique advantages of working in a forward-thinking company dedicated to your success.

We Source Talent

Contact Detail:

We Source Talent Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Enterprise AI Solutions Engineer in London

Tip Number 1

Network like a pro! Reach out to folks in the AI and tech space, especially those who work with AI solutions. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects and any AI agent builds you've worked on. 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 brushing up on common technical questions related to AI and Python. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.

Tip Number 4

Don’t forget to 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 are proactive about their job search!

We think you need these skills to ace Enterprise AI Solutions Engineer in London

Python
AI Agent Execution
Customer-Facing Skills
Cross-Functional Collaboration
Technical Delivery
End-to-End Management
High-Performance Outcomes

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python and any customer-facing roles you've had. We want to see how your skills align with the Enterprise AI Solutions Engineer position, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our team and how your background makes you a perfect fit for managing AI agent builds. Keep it engaging and personal – we love to see your personality!

Showcase Your Collaboration Skills:Since this role involves working with cross-functional teams, make sure to mention any experiences where you’ve successfully collaborated with others. We’re looking for team players who can drive technical delivery together with us!

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 gives you a chance to explore more about what we do at StudySmarter!

How to prepare for a job interview at We Source Talent

Know Your Python Inside Out

Since the role requires expertise in Python, make sure you brush up on your coding skills. Be prepared to discuss your previous projects and how you've used Python to solve real-world problems. Practising coding challenges can also help you feel more confident.

Showcase Your Customer-Facing Experience

This position values a strong track record in customer-facing roles. Think of specific examples where you've successfully interacted with clients or stakeholders. Highlight how you managed expectations and delivered results, as this will demonstrate your ability to thrive in a client-centric environment.

Collaborate Like a Pro

Collaboration is key in this role, so be ready to discuss how you've worked with cross-functional teams in the past. Share examples that showcase your communication skills and your ability to drive technical delivery while ensuring everyone is on the same page.

Prepare for Real-World Scenarios

Expect questions that assess your problem-solving abilities in real-world environments. Think about challenges you've faced in previous roles and how you overcame them. This will show your potential employer that you're not just technically skilled but also practical and adaptable.