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- Tasks: Design and deploy innovative AI solutions that transform businesses.
- Company: WeBuild-AI, a pioneer in AI transformation for enterprises.
- Benefits: Competitive salary, growth opportunities, and a chance to shape the future of AI.
- Other info: Join a dynamic team pushing the boundaries of what's possible with AI.
- Why this job: Lead the AI revolution and make a real impact on enterprise processes.
- Qualifications: Deep experience in AI/ML systems and strong leadership skills.
The predicted salary is between 72000 - 108000 £ per year.
About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.
Our Purpose: We're on a mission to reinvent what's possible with AI in enterprise environments. Our AI Engineers don't just implement solutions—they discover new patterns of working with AI that revolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation, working at the absolute cutting edge of what's possible with today's most advanced AI technologies.
Role Overview: As a Principal AI Engineer at WeBuild-AI, you will design, develop, and deploy innovative AI solutions that transform our clients' businesses. You'll leverage cutting-edge language models, agent frameworks, and our Pathway platform to create high-impact AI applications that deliver 10x value. You'll be given the freedom to experiment and push boundaries, discovering new ways AI can solve complex enterprise challenges.
Key Responsibilities
- Define the overall AI architecture and technology strategy, ensuring long-term scalability and reliability.
- Lead technical direction across multiple teams, overseeing the full AI solution lifecycle—from concept to production.
- Mentor and guide Lead AI Engineers and technical contributors to raise the engineering bar.
- Champion best practices for governance, observability, and lifecycle management of AI systems.
- Evaluate and introduce emerging frameworks, including Autogen, LangGraph, and other agentic ecosystems.
- Partner with senior stakeholders to align AI strategy with business goals.
- Drive the evolution of our internal platform (Pathway) to enable faster, safer AI delivery.
- Represent the company externally as a technical authority—at client workshops, conferences, or thought leadership sessions.
- Proactively identify and mitigate risks in AI adoption, ensuring ethical and compliant implementation.
Required Skills Experience
- Deep experience architecting and scaling enterprise-grade AI/ML systems.
- Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML).
- Strong command of agent frameworks, vector databases, and LLM orchestration tools.
- Ability to lead multi-disciplinary teams and manage complex AI projects.
- Advanced proficiency in Python, MLOps, and software engineering principles.
- Experience setting technical standards, governance frameworks, and performance benchmarks.
- Strong consulting mindset with the ability to translate emerging technology into business impact.
- Strategic thinker with the ability to pioneer new approaches and challenge conventional wisdom.
The Mindset We Value:
- Relentless Innovation: We're looking for individuals who are constantly exploring the edges of what's possible with AI.
- Flexible Methodology: Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate.
- "Can Do" Attitude: When faced with a seemingly impossible challenge, your response should be "let's figure out how" rather than "it can't be done."
- Balanced Perspective: While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation.
Growth Opportunities:
- Develop expertise with emerging AI models and capabilities before they reach mainstream adoption.
- Create intellectual property and novel implementation approaches.
- Work across multiple industries to develop deep domain expertise.
- Contribute to the evolution of our proprietary AI methodology.
- Participate in the AI research community and establish thought leadership.
- Shape new AI services and capabilities within our Pathway platform.
Principal AI Engineer in London employer: WeBuild-AI
Contact Detail:
WeBuild-AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or conferences where you can chat with industry leaders and potential colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether they're personal, academic, or professional. This gives you a chance to demonstrate your expertise and creativity, making you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by diving deep into the latest AI trends and technologies. Be ready to discuss how you've tackled complex challenges in the past and how you can bring that experience to WeBuild-AI. Confidence is key!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows you're genuinely interested in the role and helps keep you top of mind as they make their decision.
We think you need these skills to ace Principal AI Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Principal AI Engineer role. Highlight your experience with AI/ML systems and how you've pushed boundaries in previous projects. We want to see how you can bring your unique skills to our team!
Showcase Your Innovation: We love candidates who think outside the box! Share examples of how you've innovated in your past roles, especially with AI technologies. Let us know about any experimental approaches you've taken that led to successful outcomes.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your technical expertise and achievements. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: Don't forget to submit your application through our website! This helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to see what you bring to the table!
How to prepare for a job interview at WeBuild-AI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI architectures and cloud ecosystems like AWS and Azure. Be ready to discuss specific projects where you've implemented AI solutions, as this will show your hands-on experience and understanding of the technology.
✨Showcase Your Leadership Skills
As a Principal AI Engineer, you'll be leading teams and guiding others. Prepare examples of how you've mentored colleagues or led projects in the past. Highlight your ability to manage complex AI projects and how you’ve driven innovation within your teams.
✨Embrace the Experimental Mindset
WeBuild-AI values relentless innovation, so come prepared to discuss your experimental approaches to problem-solving. Share instances where you’ve pushed boundaries and tried new methods, even if they didn’t always work out. This shows your willingness to learn and adapt.
✨Align with Business Goals
Understand how AI can impact business processes and be ready to discuss how you've aligned technical strategies with business objectives in previous roles. This will demonstrate your consulting mindset and ability to translate tech into tangible business value.