At a Glance
- Tasks: Lead the design of AI-driven software architecture and guide engineering teams.
- Company: WeBuild-AI, a pioneer in transforming enterprises with cutting-edge AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with industry leaders and shape the future of AI in business.
- Why this job: Join us to redefine enterprise operations with innovative AI technologies.
- Qualifications: 8+ years in software architecture, expertise in Python and cloud-native systems.
The predicted salary is between 90000 - 120000 £ per year.
About WeBuild-AI: WeBuild-AI are AInatives 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 Software 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.
Key Responsibilities
- Define and evolve the overall software architecture and technology vision for the organisation.
- Provide deep technical guidance to multiple engineering teams across projects.
- Lead the design and delivery of large-scale distributed systems that integrate AI and data services.
- Champion engineering excellence, establishing standards for code quality, performance, and reliability.
- Collaborate with product and AI leadership to align software strategy with company goals.
- Review and approve major architectural decisions and technology selections.
- Mentor and coach Lead Engineers, elevating technical capability across the organisation.
- Evaluate emerging technologies and introduce innovative approaches that improve our software delivery.
- Ensure best practices in security, observability, CI/CD, and cloud infrastructure are embedded throughout the engineering function.
- Represent the engineering organisation externally — at conferences, client meetings, and community events.
Required Skills & Experience
- 8+ years’ experience designing, building, and scaling enterprise-grade software systems.
- Deep technical expertise across the full stack, with mastery in Python, TypeScript/React, and cloud-native architectures.
- Proven experience architecting distributed systems and integrating AI services or data platforms.
- Experience setting technical direction, establishing patterns, and guiding multiple teams.
- Strong understanding of DevOps, infrastructure as code, and microservices design.
- Track record of mentoring senior engineers and leading technical communities.
- Exceptional problem-solving and communication skills, with the ability to influence at all levels.
- Strategic thinker - capable of balancing innovation, quality, and delivery speed.
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.
Lead AI-Driven Enterprise Software Architect employer: WeBuild-AI
At WeBuild-AI, we pride ourselves on being at the forefront of AI innovation, offering our employees a dynamic work culture that fosters relentless creativity and collaboration. With a strong emphasis on professional growth, our team members have the opportunity to develop cutting-edge expertise in AI technologies while working alongside industry leaders in a hybrid environment based in London. Join us to not only shape the future of enterprise software but also to be part of a community that values innovation, mentorship, and a 'can do' attitude.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI-Driven Enterprise Software Architect
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and software engineering space. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects, especially those involving AI and enterprise software. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI-driven software architecture. Mock interviews with friends or mentors can help you nail down your responses and boost your confidence when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for innovative minds ready to lead the charge in AI transformation. Your next big opportunity could be just a click away, so make sure you get your application in!
We think you need these skills to ace Lead AI-Driven Enterprise Software Architect
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI-driven software architecture. We want to see how your skills align with our mission of transforming enterprise organisations.
Showcase Your Technical Expertise:Don’t hold back on detailing your technical skills, especially in Python, TypeScript/React, and cloud-native architectures. We’re looking for someone who can lead the charge in building scalable systems, so let us know what you’ve done!
Demonstrate Your Problem-Solving Skills:We love a 'can do' attitude! Share examples of challenges you've faced and how you tackled them. This will show us that you’re not just about theory but also about practical solutions.
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 WeBuild-AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, TypeScript/React, and cloud-native architectures. Brush up on your experience with distributed systems and AI integration, as these will likely be hot topics during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the 'Can Do' attitude to demonstrate your approach to problem-solving, especially when it comes to innovative solutions in AI-driven environments.
✨Emphasise Mentorship Experience
Since mentoring is a key part of this role, be ready to share examples of how you've guided other engineers. Highlight any technical communities you've led or contributed to, showcasing your ability to elevate team capabilities.
✨Align with Their Vision
Understand WeBuild-AI's mission and values, particularly their focus on relentless innovation and flexible methodologies. Be prepared to discuss how your own mindset aligns with theirs and how you can contribute to their goal of transforming enterprise organisations with AI.
