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For Companies At a Glance
- Tasks: Lead AI projects, build prototypes, and engage with clients to deliver innovative solutions.
- Company: Dynamic AI consultancy focused on cutting-edge technology and client success.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Join a team at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in software development, client engagement, and a passion for AI.
- Other info: Flexible remote work with occasional travel and strong career advancement potential.
The predicted salary is between 104000 - 156000 £ per year.
Location: Remote
Travel: Customer visits 4–5 days/month; occasional team gatherings
Salary:
- Senior: €130–150k base + growth trajectory
- Principal: €160–200k base + package discussion
Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG
Industry: AI Consultancy
The Role
We're looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers through to Principal-level AI technical leaders. You'll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles.
This is a role for engineers who:
- Enjoy building real software that makes a difference
- Are passionate about AI and its practical application
- Thrive at the intersection of technical leadership and client engagement
What You'll Do
Customer-Facing Leadership
- Lead discovery workshops with technical and business stakeholders
- Represent the organisation's technical capabilities in high-stakes client meetings
- Build trust and long-term relationships with engineering teams and decision-makers
Solution Development & Architecture
- Build and iterate working AI prototypes quickly
- Architect scalable, maintainable systems from prototype to production
- Make sophisticated technical decisions balancing AI innovation, quality, and deployment needs
Technical Mentorship & Team Growth
- Guide engineers through technical delivery, code reviews, and architectural discussions
- Elevate team capabilities through knowledge sharing, mentoring, and internal workshops
- Contribute to best practices, reusable components, and solution standards
AI Mastery & Innovation
- Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems
- Design evaluation frameworks addressing bias, hallucination detection, and business impact
- Explore novel AI applications while integrating traditional ML techniques where appropriate
Who We're Looking For
For Senior Engineers:
- 5–8+ years building robust, scalable software systems
- Full-stack development capability across modern technologies
- Client-facing experience or technical consulting skills
- AI curiosity and hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot
For Principal Engineers:
- 8+ years delivering complex, enterprise-grade software
- Proven AI/ML expertise with production deployment experience
- Advanced knowledge of transformer architectures, foundation models, and prompt engineering
- Senior stakeholder engagement experience and ability to lead high-level AI strategy
Forward Deployed Engineer employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and software development. This is your chance to demonstrate your hands-on experience and passion for the field.
✨Tip Number 3
Prepare for interviews by practising common technical questions and client-facing scenarios. 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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Forward Deployed Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Forward Deployed Engineer role. Highlight your experience with Python, JavaScript, and any AI projects you've worked on. 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! Share your passion for AI and how it drives your work. Talk about your client-facing experiences and how you've built relationships in previous roles. We love seeing genuine enthusiasm!
Showcase Your Projects: If you've built prototypes or worked on AI solutions, don’t hold back! Include links to your GitHub or any relevant projects that demonstrate your technical prowess. We’re keen to see your hands-on experience and creativity in action.
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 proactive and eager to join our team!
How to prepare for a job interview at Immersum
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, JavaScript, Azure, and AWS. Brush up on your AI knowledge, especially around LLMs and RAG systems. Being able to discuss these technologies confidently will show that you’re not just familiar with them, but that you can apply them in real-world scenarios.
✨Showcase Your Client Engagement Skills
Since this role involves a lot of customer-facing work, prepare examples of how you've successfully led discovery workshops or built relationships with clients. Think about times when you’ve had to balance technical details with business needs, and be ready to share those stories.
✨Demonstrate Your Problem-Solving Ability
Be prepared to discuss how you approach problem-solving, especially in the context of AI solutions. You might be asked to walk through a past project where you built a prototype or made a significant architectural decision. Highlight your thought process and the impact of your decisions.
✨Emphasise Your Mentorship Experience
If you have experience guiding other engineers, make sure to highlight it. Talk about how you’ve contributed to team growth through mentoring or knowledge sharing. This shows that you’re not just a technical expert, but also someone who can elevate the capabilities of the team.
