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 flexibility, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and continuous learning.
- Why this job: Join a team at the forefront of AI innovation and make a real impact.
- Qualifications: 8+ years in software development, client engagement, and AI expertise required.
The predicted salary is between 120000 - 170000 £ per year.
Location: Remote
Travel: Customer visits 4–5 days/month; occasional team gatherings
Salary: €120–£170k base + package discussion
Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG
Industry: AI Consultancy
The Role
We’re looking for talented Principal-level Forward Deployed Engineers to join our customer-facing AI practice. 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 Principal Engineers:
- ~8+ years delivering complex, enterprise-grade software
- 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
- 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 Integrity Engineer employer: Immersum
As a Principal Integrity Engineer at our AI consultancy, you will be part of a dynamic and innovative team that values technical leadership and client engagement. We offer a flexible remote work environment, competitive salary packages, and opportunities for professional growth through mentorship and knowledge sharing. Join us to make a meaningful impact in the AI space while collaborating with top-tier clients and enhancing your skills in a supportive culture that champions creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Integrity Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and tech space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, prototypes, or any relevant work. This is your chance to demonstrate your hands-on experience and passion for AI, which can really impress potential employers.
✨Tip Number 3
Prepare for those interviews! Research the company and its AI solutions thoroughly. Be ready to discuss how you can contribute to their projects and share your insights on AI trends. Confidence and knowledge go a long way!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Principal Integrity Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! Share any personal projects or experiences that highlight your curiosity and hands-on experimentation with AI tools. We want to see how you connect with the tech!
Tailor Your Experience:Make sure to customise your application to reflect the skills and experiences that align with the role. Highlight your full-stack development capabilities and client-facing experience, as these are key for us. We love seeing how your background fits into our world!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your achievements and technical expertise. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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 Immersum
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, JavaScript, Azure, and AWS. Brush up on your AI knowledge, especially around LLMs and RAG systems, as you’ll need to demonstrate your expertise during technical discussions.
✨Showcase Your Client Engagement Skills
Prepare examples of how you've successfully led discovery workshops or built relationships with clients in previous roles. Highlight your ability to communicate complex technical concepts to non-technical stakeholders, as this will be crucial for a customer-facing role.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss specific challenges you've faced in past projects and how you approached solving them. Think about instances where you built prototypes or made architectural decisions that balanced innovation with practical deployment needs.
✨Emphasise Mentorship and Team Growth
Since the role involves guiding other engineers, prepare to talk about your experience in mentoring and knowledge sharing. Share how you've contributed to team capabilities and best practices, as this will show your leadership potential.
