At a Glance
- Tasks: Design and develop innovative AI solutions that transform businesses using cutting-edge technologies.
- Company: WeBuild-AI, a pioneer in AI transformation for enterprise organisations.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team at the forefront of AI innovation with global reach.
- Why this job: Lead the AI revolution and make a real impact on how businesses operate.
- Qualifications: Proven experience in AI architecture and leadership in tech teams.
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. You should be the type who stays up late testing new approaches just to see what might work.
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." We value determined problem-solvers who find a way forward.
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.
This role is hybrid and we come into our London based office 3 days a week.
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Principal AI Engineer employer: WeBuild-AI
WeBuild-AI is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the AI consultancy space. With a strong emphasis on employee growth, you will have the autonomy to lead design projects while collaborating with cutting-edge AI tools, all within a supportive environment located in the vibrant city of London. Join us to be part of a fast-growing team where your creativity and strategic thinking will directly contribute to our brand evolution and success.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Engineer
✨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 employers. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and innovations. Whether it's GitHub repos or case studies, let your work speak for itself. This is your chance to shine and demonstrate how you can deliver that 10x value.
✨Tip Number 3
Prepare for those interviews! Research WeBuild-AI and understand our mission and values. Be ready to discuss how your experience aligns with our goals and how you can lead the transformation in AI for enterprise organisations.
✨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, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Principal AI Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how you’ve engaged with AI technologies and what excites you about the future of AI in enterprise environments.
Tailor Your Experience:Make sure to highlight your relevant experience that aligns with our mission at WeBuild-AI. Use specific examples of how you've designed or implemented AI solutions that delivered significant value, just like we aim to do!
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see your skills and how they fit with our needs.
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 shows you’re keen on joining our team!
How to prepare for a job interview at WeBuild-AI
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and frameworks mentioned in the job description, like Autogen and LangGraph. Be ready to discuss how you've used these tools in past projects or how you would apply them to solve complex enterprise challenges.
✨Showcase Your Leadership Skills
As a Principal AI Engineer, you'll be leading teams and mentoring others. Prepare examples of how you've guided technical direction in previous roles, and think about how you can inspire and elevate your team members to achieve their best work.
✨Align with Business Goals
Understand the business side of AI. Be prepared to discuss how your AI strategies can align with and drive business objectives. Think about specific examples where your AI solutions have delivered measurable value to an organisation.
✨Be Ready to Experiment
WeBuild-AI values innovation and experimentation. Come with ideas on how you would push boundaries in AI applications. Share any past experiences where you took risks that led to successful outcomes, and be open to discussing new patterns of working with AI.
