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- Tasks: Build AI-powered features for enterprise products and enhance decision-making processes.
- Company: Basis Technologies, a leader in Intelligent Change Management solutions.
- Benefits: Competitive salary, private medical insurance, flexible work options, and generous holiday allowance.
- Other info: Exciting growth opportunities in a supportive and collaborative environment.
- Why this job: Join a dynamic team to innovate with AI and make a real impact on businesses.
- Qualifications: Experience in AI engineering and strong software development skills required.
The predicted salary is between 60000 - 80000 £ 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 & Health Cash Plan
- Life Assurance & Income Protection
- Employee Assistance Programme (Unum EAP)
- 25 days holiday per year, rising to 30 days with service, plus public holidays
- Global Flexibility – work abroad for up to one month per year
- Enhanced Parental Leave
- Paid Volunteer Day
- Employee Referral Bonus
- Learning and Development Budget
- Mental Health First Aiders Programme
AI Engineer: Enterprise Product AI in Bracknell employer: Basistechnologies
Contact Detail:
Basistechnologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: Enterprise Product AI in Bracknell
✨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 is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your AI engineering experience. Bring it up during interviews to demonstrate your hands-on abilities and how you can contribute to their team.
✨Tip Number 3
Be ready to discuss real-world applications of your work. Basis Technologies is all about building features for real customers, so think of examples where your AI solutions made a tangible impact.
✨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 team at Basis Technologies.
We think you need these skills to ace AI Engineer: Enterprise Product AI in Bracknell
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your hands-on experience in AI engineering and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t forget to mention your software engineering fundamentals, especially in Python, TypeScript, or JavaScript. If you’ve got experience with REST API design or MLOps, make it pop! We love seeing those technical chops in action.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your experience and skills. We appreciate a well-structured application that gets straight to the good stuff!
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’re considered for the role. Plus, it shows you’re keen on joining our team at Basis Technologies!
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 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 REST API design skills.
✨Understand the Company’s Products
Familiarise yourself with Basis Technologies' Intelligent Change Management solutions and how they leverage AI. Knowing how your role as an AI Engineer fits into their existing products will show your genuine interest and help you stand out.
✨Prepare for Collaboration Questions
Given the collaborative nature of the role, think about examples from your past experiences where you worked closely with engineering and architecture teams. Be ready to discuss how you implemented AI integration patterns and contributed to team success.