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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, AI, and client engagement required.
- Other info: Exciting role with opportunities for mentorship and technical leadership.
The predicted salary is between 130000 - 200000 £ 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
- 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
- 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
- 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
- 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
Principal Forward Deployed Engineer in Colchester employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Forward Deployed Engineer in Colchester
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and tech scene. Attend meetups, webinars, or even just grab a coffee with someone in the industry. Building relationships can open doors that job applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and software development. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI and software engineering. Mock interviews with friends or mentors can help you feel more confident and ready to tackle those tricky questions.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate engineers who want to make a difference. Your next big opportunity could be just a click away, so don’t hesitate to reach out!
We think you need these skills to ace Principal Forward Deployed Engineer in Colchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Principal Forward Deployed Engineer role. Highlight your experience in AI, client engagement, and software development to show us you’re the perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and how your technical leadership can make a difference. Be genuine and let your personality come through!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving AI or client-facing solutions, make sure to mention them. We love seeing real examples of your work and how you’ve tackled challenges!
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 don’t miss out on any important updates from 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 lead discussions and make informed decisions.
✨Showcase Your Client Engagement Skills
Prepare examples of how you've successfully engaged with clients in the past. Think about times when you led discovery workshops or built trust with stakeholders. This role is all about client-facing leadership, so demonstrating your ability to build relationships will be key.
✨Demonstrate Your Problem-Solving Ability
Be ready to discuss how you approach problem-solving, especially in the context of AI solutions. Prepare a few case studies or scenarios where you’ve built prototypes or architected systems. Highlight your thought process and how you balance innovation with practical deployment needs.
✨Emphasise Mentorship and Team Growth
Since this role involves guiding other engineers, think about your mentoring experiences. Be prepared to talk about how you’ve elevated team capabilities through knowledge sharing or internal workshops. Showing that you can contribute to team growth will set you apart as a leader.
