At a Glance
- Tasks: Lead the deployment and scaling of innovative AI solutions for enterprise clients.
- Company: Join a pioneering AI company transforming decision-making with cutting-edge technology.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and career development.
- Why this job: Make a real impact by solving complex challenges with state-of-the-art AI technology.
- Qualifications: Experience in software engineering and strong leadership skills.
The predicted salary is between 36000 - 60000 £ per year.
About Faculty
At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award-winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.
About the role
As a Lead Software Engineer in our Customer Development team, you won’t just build software - you’ll lead the charge in deploying, customising, and scaling our groundbreaking Frontier platform directly with our enterprise clients. As we continue to expand our platform’s reach, you’ll have the unique opportunity to build a scalable AI focused product, remain close to live customer feedback whilst leading the way in technical best practices. In this role, you’ll be immersed in leading the deployment of Frontier in complex environments, tackling complex real-world challenges using state-of-the-art technology. From optimising multinational supply chain logistics to reducing time-to-market for clinical trials and supporting sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights. Join us on this exciting journey of transforming decision-making with AI and machine learning, revolutionising how businesses thrive utilising Decision Intelligence.
What you will be doing
At the heart of Decision Intelligence for each customer lies one or more Computational Twins (CT). A CT is a digital representation of an existing business process in which decisions are made. Our platform enables a CT to show historical process performance, model future behaviour and simulate decisions. As a Lead Software Engineer in the Customer Development team, you’ll lead the technical delivery of customer-facing projects, guiding a small, cross-functional team. You’ll collaborate directly with customers and their engineering teams to understand their systems and data, and help integrate Frontier into their workflows. This often includes extending or adapting our frontend, backend, and infrastructure-as-code components, as well as supporting the creation of Computational Twins that model complex real-world systems. You’ll play a hands-on role in shaping how Frontier is deployed and scaled in production environments, ensuring it delivers real impact from day one.
Your responsibilities will include:
- Lead Client Engagements: Act as the primary technical authority and partner for our enterprise clients, guiding them from discovery through to successful production deployment.
- Mentor Your Squad: Lead and mentor a dedicated, cross-functional squad of engineers, fostering their growth and setting the standard for technical excellence and creative problem-solving.
Lead Software Engineer employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer, particularly for the Head of Banking role, where you will lead transformative AI initiatives in a dynamic banking landscape. Our culture fosters innovation and collaboration, offering unlimited annual leave, private healthcare, and family-friendly flexibility to ensure a healthy work-life balance. With a strong commitment to employee growth through mentorship and coaching, we empower our team to thrive in a supportive environment that values diverse perspectives and encourages meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Faculty employees on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and software engineering. This gives you a chance to demonstrate your expertise beyond what's on paper.
✨Tip Number 3
Prepare for interviews by understanding Faculty's mission and values. Be ready to discuss how your experience aligns with their goals in transforming decision-making through AI.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Faculty team.
We think you need these skills to ace Lead Software Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and its potential shine through. We want to see how you connect with our mission of transforming decision-making with AI and machine learning.
Tailor Your Experience:Make sure to highlight your relevant experience in software engineering and any specific projects that align with the role. We love seeing how your background can contribute to our Customer Development team.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Lead Software Engineer position.
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 this exciting opportunity.
How to prepare for a job interview at Faculty
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Familiarise yourself with how they apply to real-world scenarios, especially in areas like supply chain logistics and clinical trials. Being able to discuss these topics confidently will show that you're not just a coder, but someone who understands the impact of your work.
✨Showcase Your Leadership Skills
As a Lead Software Engineer, you'll be expected to guide a team. Prepare examples from your past experiences where you've successfully led projects or mentored others. Highlight your ability to foster growth and set standards for technical excellence – this is key to impressing the interviewers.
✨Understand Their Platform
Dive deep into Faculty's Frontier platform before the interview. Understand its features, benefits, and how it integrates with customer workflows. Being able to discuss how you would approach deploying and customising the platform for clients will demonstrate your genuine interest and readiness for the role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and future goals. This not only shows your enthusiasm for the role but also helps you gauge if the company culture aligns with your values and career aspirations.
