Embedded Data Solutions Engineer – AI & Integration

Embedded Data Solutions Engineer – AI & Integration

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Accelerant

At a Glance

  • Tasks: Design and implement AI solutions while collaborating with delivery teams.
  • Company: Accelerant, a forward-thinking company in the tech space.
  • Benefits: Competitive salary, flexible work options, and opportunities for growth.
  • Other info: Exciting projects in finance and insurance sectors await you!
  • Why this job: Join a dynamic team and shape the future of AI integration.
  • Qualifications: Experience with cloud platforms like Azure or AWS and SaaS applications.

The predicted salary is between 60000 - 80000 £ per year.

Accelerant is seeking a Forward-Deployed Solution Engineer to work embedded in delivery teams. The role involves assessing AI-enabled capabilities, ensuring technical decisions align with architecture principles, and designing integration patterns between various enterprise systems.

Ideal candidates will have a strong foundation in cloud platforms like Azure and AWS, and experience with enterprise SaaS applications, particularly in finance or insurance.

Embedded Data Solutions Engineer – AI & Integration employer: Accelerant

At Accelerant, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As an Embedded Data Solutions Engineer, you will have access to cutting-edge technology and the opportunity to work alongside talented professionals in a dynamic environment, all while enjoying comprehensive benefits and robust career development programmes tailored to your growth. Located in a vibrant area, our company offers a unique blend of professional challenges and personal fulfilment, making it an exceptional place to build your career.

Accelerant

Contact Details:

Accelerant Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Embedded Data Solutions Engineer – AI & Integration

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working with AI and integration. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to cloud platforms like Azure and AWS. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of enterprise SaaS applications. We recommend practising common integration patterns and architecture principles to impress your interviewers.

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 Embedded Data Solutions Engineer – AI & Integration

AI-enabled Capabilities Assessment
Technical Decision Alignment
Integration Pattern Design
Cloud Platforms (Azure, AWS)
Enterprise SaaS Applications
Finance Industry Knowledge
Insurance Industry Knowledge

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with cloud platforms like Azure and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Embedded Data Solutions Engineer role and how your background in AI and integration can benefit us at Accelerant.

Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex integration challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions!

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’s super easy!

How to prepare for a job interview at Accelerant

Know Your Tech Inside Out

Make sure you brush up on your knowledge of cloud platforms like Azure and AWS. Be ready to discuss how you've used these technologies in past projects, especially in relation to AI capabilities and integration patterns.

Understand the Business Context

Since the role involves working with enterprise SaaS applications in finance or insurance, do some research on the industry. Familiarise yourself with common challenges and trends, so you can speak intelligently about how your skills can address them.

Prepare for Scenario-Based Questions

Expect to face questions that assess your problem-solving skills. Think of specific examples where you've had to make technical decisions or design integration solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers.

Show Your Team Spirit

As you'll be embedded in delivery teams, it's crucial to demonstrate your ability to collaborate effectively. Share examples of how you've worked with cross-functional teams in the past and highlight your communication skills.