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For Companies At a Glance
- Tasks: Lead AI projects and solve client problems with innovative solutions.
- Company: Top AI consultancy known for its cutting-edge technology and client impact.
- Benefits: Competitive salary, remote work flexibility, and growth opportunities.
- Why this job: Join a dynamic team and shape the future of AI in real-world applications.
- Qualifications: 5+ years in software development and a passion for AI.
- Other info: Innovative environment with excellent career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI consultancy is seeking a Forward Deployed Engineer – AI & Customer-Facing Technical Leader. This role involves working with clients to solve problems, guiding AI solution lifecycles, and leading technical discovery workshops.
Candidates should have a minimum of 5 years of experience in building scalable software and a passion for AI.
The position offers a competitive salary, remote work flexibility, and opportunities for growth in an innovative environment.
Remote Forward-Deployed AI Engineer in Leeds employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Forward-Deployed AI Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your past projects, especially those involving scalable software and AI solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and software engineering. Practice explaining your thought process clearly, as communication is key in client-facing roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role and connect with us directly. Plus, it shows you're genuinely interested in joining our innovative team.
We think you need these skills to ace Remote Forward-Deployed AI Engineer in Leeds
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, make sure to highlight your enthusiasm for AI. We want to see how your passion drives your work and how it aligns with our mission at StudySmarter.
Tailor Your Experience: Don’t just list your past jobs; connect your experience to the role of a Forward-Deployed AI Engineer. We’re looking for candidates who can demonstrate their ability to build scalable software and lead technical discussions.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Immersum
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI. Be prepared to discuss your previous projects and how you've applied AI solutions to real-world problems. This will show your passion and expertise in the field.
✨Showcase Your Problem-Solving Skills
Since the role involves working closely with clients to solve problems, think of specific examples where you've successfully tackled challenges in your past roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Prepare for Technical Discovery Workshops
Familiarise yourself with leading technical discovery workshops. Think about how you would guide a client through the process of identifying their needs and translating them into AI solutions. Practice explaining complex concepts in simple terms.
✨Emphasise Your Teamwork and Leadership Experience
As a customer-facing technical leader, it's crucial to demonstrate your ability to work collaboratively. Share examples of how you've led teams or projects, and how you’ve effectively communicated with both technical and non-technical stakeholders.
