At a Glance
- Tasks: Build AI-powered features for enterprise products and enhance decision-making processes.
- Company: Basis Technologies, a leading innovator in Intelligent Change Management solutions.
- Benefits: Competitive salary, private medical insurance, and a company pension.
- Other info: Exciting growth opportunities in a collaborative global environment.
- Why this job: Join a dynamic team and make a real impact with cutting-edge AI technology.
- Qualifications: Experience in AI engineering and strong software development skills required.
The predicted salary is between 50000 - 60000 € per year.
Bracknell, UK (Hybrid – 2 days per week in office)
ABOUT BASIS TECHNOLOGIES
Basis Technologies enables every SAP-run business to manage change intelligently, no matter how complex their technology landscape. Our Intelligent Change Management (ICM) solutions harness the collective intelligence of the SAP community to help business and technology change teams explore, plan, and execute business change imperatives. We are building a dedicated AI Function to deliver intelligent capabilities across our product portfolio. This is a team focused on production‑grade AI engineering — building real features into real products used by real customers.
THE OPPORTUNITY
We have an exciting opportunity within our AI Function for an AI Engineer to bring intelligent capabilities into our established enterprise products. Working closely with the platform AI Engineer and the Engineering and Architecture teams, you will leverage shared AI infrastructure to build AI‑powered features, reinforcing reuse and consistency across products. This role has a clear and structured roadmap. You will be embedded with the teams behind ActiveControl and ActiveDiscover — working closely with established product engineers to design and ship AI capabilities into products that already have strong customer bases.
IN THIS ROLE, YOU WILL
- Build new AI‑powered features and analysers for our enterprise products, reusing shared AI infrastructure
- Build MCP servers to expose product data and functionality to AI capabilities
- Develop predictive and analytical models to surface risks, improve workflows, and support decision‑making
- Build evaluation and quality processes for all AI features, aligned with the centralised evaluation framework
- Implement AI integration patterns in close collaboration with Engineering and Architecture teams
IS THIS OPPORTUNITY FOR YOU?
Essential experience and skills:
- Hands‑on experience in AI engineering, building AI/ML features into production systems
- Experience designing AI integration patterns for enterprise software
- Strong software engineering fundamentals: Python, TypeScript or JavaScript, REST API design, MLOps
- Experience with anomaly detection or predictive analytics on structured operational data
- Experience building APIs and integration layers, MCP servers, tool‑calling patterns, or similar service interfaces
Desirable skills:
- Familiarity with graph‑based dependency analysis or impact analysis techniques
- Background in building AI features that support compliance and governance workflows
- Familiarity with SAP BTP ecosystem
WHAT WE DO
We enable every SAP‑run business to manage change intelligently, no matter how complex their technology landscape. Our suite of Intelligent Change Management solutions harnesses the collective intelligence of the SAP community to help business and technology change teams work together to explore, plan, and execute business change imperatives. For over 25 years, we have helped equip, liberate, and champion SAP change heroes at global leaders like Kimberly‑Clark, 3M, and Vistaprint.
WHO WE ARE
We have been officially named one of the UK's Best Workplaces by Great Place to Work, for the third year in a row. We are at an exciting point as we scale from 130+ global employees. We have the foundations in place to grow with purpose, whilst retaining the individual ownership and tangible impact you would expect working in a scale‑up organisation. We are a global team who collaborate across all levels, locations, and departments, whilst individually having the knowledge, expertise, autonomy, and accountability to drive successful outcomes. Our fast‑paced environment means we embrace change and communicate effectively to proactively and creatively solve problems.
WHY JOIN US?
Aside from the benefits of role evolution, tangible individual impact, and personal growth that you would expect working in a global scale‑up environment, at Basis Technologies we take looking out for our employees seriously. Benefits include:
- Competitive salary
- Company pension
- Private Medical Insurance
AI Engineer: Enterprise Product AI employer: Basistechnologies
Basis Technologies is an exceptional employer, recognised as one of the UK's Best Workplaces for three consecutive years. Located in Bracknell, our hybrid work model fosters a collaborative and innovative culture, allowing AI Engineers to make a tangible impact on enterprise products while enjoying competitive salaries, private medical insurance, and robust personal growth opportunities within a dynamic scale-up environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer: Enterprise Product AI
✨Tip Number 1
Network like a pro! Reach out to current employees at Basis Technologies on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your AI engineering skills. Be ready to discuss your hands-on experience with Python, TypeScript, or JavaScript, and how you've built AI features in production systems.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share specific examples of how you've tackled challenges in AI integration patterns or predictive analytics. This will demonstrate your fit for the role.
✨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, it shows you're genuinely interested in joining our team at Basis Technologies.
We think you need these skills to ace AI Engineer: Enterprise Product AI
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI engineering and how it aligns with the role. We want to see how your skills can bring intelligent capabilities to our enterprise products!
Showcase Your Projects:Include specific examples of AI/ML features you've built or contributed to in production systems. We love seeing real-world applications of your work, so don’t hold back on the details!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key skills and experiences shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Basistechnologies
✨Know Your AI Stuff
Make sure you brush up on your AI engineering knowledge, especially around building AI/ML features into production systems. Be ready to discuss your hands-on experience and any specific projects you've worked on that relate to predictive analytics or anomaly detection.
✨Showcase Your Coding Skills
Since strong software engineering fundamentals are essential, be prepared to demonstrate your proficiency in Python, TypeScript, or JavaScript. You might even want to bring along some code samples or projects that highlight your skills in REST API design and MLOps.
✨Understand the Company’s Products
Familiarise yourself with Basis Technologies' Intelligent Change Management solutions and how they integrate AI capabilities. Knowing how your role as an AI Engineer will contribute to existing products like ActiveControl and ActiveDiscover can really set you apart.
✨Prepare for Collaboration Questions
Since this role involves working closely with Engineering and Architecture teams, think about examples from your past where you successfully collaborated on projects. Be ready to discuss how you approach teamwork and problem-solving in a fast-paced environment.
