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For Companies At a Glance
- Tasks: Join us to activate new customers on our AI platform and solve real-world integration challenges.
- Company: CloudFactory, a mission-driven tech company transforming data into meaningful work.
- Benefits: Competitive salary, medical cover, personal development, and fun team events.
- Other info: Empowering culture focused on growth, collaboration, and meaningful work.
- Why this job: Make a real impact while working with cutting-edge AI technology and diverse teams.
- Qualifications: Bachelor's degree in IT or related field, plus 2-4 years in technical support or implementation.
The predicted salary is between 36000 - 60000 ÂŁ per year.
At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale. More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.
Our Culture
- Mission-Driven: We focus on creating economic and social impact.
- People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.
- Innovative: We embrace change and find better ways to do things together.
- Globally Connected: We foster collaboration between diverse cultures and perspectives.
If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!
Role Summary
As an AI Platform Implementation Engineer, you will own the technical activation of new customers on the CloudFactory platform. You will ensure seamless integration of client data, authentication systems, and ML workflows, enabling customers to launch production pilots with speed and confidence. This role sits at the intersection of AI, data engineering, and customer enablement. This is a hands-on, technical role for someone who enjoys solving real-world integration challenges, troubleshooting system friction, and translating complex technical concepts into actionable solutions. You will be the technical bridge between Customer, Product, and Delivery during the most critical phase of the customer lifecycle: activation and early adoption.
Responsibilities
What You Will Do:
- Customer Need Analysis: Run customer workshops to understand their pain points, problems they are trying to solve and how CloudFactory can help them.
- Rapid Configuration: Execute technical setups for new client accounts, including SSO integration, IAM user management, and workspace configuration.
- Standard Integrations: Connect client data sources to the CloudFactory Platform using our standard connectors.
- Client Enablement: Run technical training sessions to teach client teams how to use our Model Playground, upload datasets, interpret quality reports etc.
- Troubleshooting: Serve as the first line of defense for technical friction during the first 90 days.
- Feedback Loop: Document friction points in the onboarding process and work with Internal Product teams for future enhancements.
Education & Experience
Education: Bachelor’s degree in Computer Science, Information Technology, Management Information Systems or equivalent practical experience.
Work Experience: 2–4 years of experience in Technical Support, Implementation Engineering, or Customer Success Engineering. Proven track record of onboarding customers to SaaS platforms or technical data products. Experience working with cross-functional teams (Product, Delivery, Sales).
Technical Skills (Hard Skills)
- API Proficiency: Strong ability to use tools like Postman/cURL to test endpoints; understanding of RESTful architecture, JSON, and authentication methods (Oauth, API Keys).
- Scripting: Basic proficiency in Python or Bash for file manipulation and data cleaning.
- Cloud Literacy: Familiarity with cloud storage navigation (AWS S3, Google Cloud Storage, Azure Blob) and file transfer protocols.
- Identity Management: Experience configuring SSO (Single Sign-On), SAML, and managing user permissions (IAM) is a strong plus.
- Data Formats: Expert-level comfort with CSV, JSON, JSONL, and XML.
- Computer Vision & ML Exposure: Practical familiarity with Computer Vision libraries (e.g., OpenCV, Pillow, Scikit-image). Understanding of image/video data structures (pixel arrays, frame extraction) and annotation formats (COCO, YOLO, JSON, DICOM for medical). Ability to troubleshoot ML model inference (understanding confidence scores, IoU, and drift).
- Data Engineering: Experience with cloud storage (AWS S3, GCS, Azure Blob) and basic database querying (SQL/NoSQL).
Professional Skills (Soft Skills)
- Root Cause Analysis: Ability to look at an error log and determine if it’s a user error, a platform bug, or a configuration mismatch.
- Documentation: A compulsion to document “fixes” into reusable Knowledge Base articles or runbooks.
- Client Empathy: The patience to explain technical concepts to non-technical stakeholders.
Benefits
- Great Mission and Culture
- Meaningful Work
- Market competitive salary
- Quarterly variable compensation
- Comprehensive medical cover
- Group life insurance
- Personal development and growth opportunities
- Periodic team building and social events
At CloudFactory, we believe that work should be more than just a job—it should be a platform for growth, impact, and community. Here, you’ll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we’d love to have you on this journey! Join us today and be part of our mission to connect people and technology for a better world!
AI Platform Implementation Engineer in Reading employer: CloudFactory
Contact Detail:
CloudFactory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Implementation Engineer in Reading
✨Tip Number 1
Get to know CloudFactory's mission and values inside out. When you understand what drives us, you can tailor your conversations to show how your skills align with our goals. This will make you stand out as a candidate who truly gets what we're about!
✨Tip Number 2
Network like a pro! Reach out to current employees on LinkedIn or attend industry events where CloudFactory is present. Building connections can give you insider insights and might even lead to a referral, which can significantly boost your chances of landing that job.
✨Tip Number 3
Prepare for the interview by practising common technical questions related to AI and data engineering. We love candidates who can demonstrate their problem-solving skills, so be ready to showcase how you've tackled real-world challenges in the past.
✨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 being part of our community and mission-driven culture.
We think you need these skills to ace AI Platform Implementation Engineer in Reading
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 love candidates who are genuinely excited about using technology to make a real-world impact, so don’t hold back!
Tailor Your Experience: Make sure to highlight your relevant experience in Technical Support or Implementation Engineering. We want to see how your background aligns with the role of an AI Platform Implementation Engineer, so be specific about your achievements and skills.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your technical skills and experiences, especially when discussing complex concepts. We appreciate clarity as it reflects your ability to communicate effectively.
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 community!
How to prepare for a job interview at CloudFactory
✨Know Your Tech Inside Out
As an AI Platform Implementation Engineer, you'll need to be comfortable with APIs, cloud storage, and data formats. Brush up on your knowledge of RESTful architecture, JSON, and tools like Postman. Being able to discuss these topics confidently will show that you're ready to tackle the technical challenges head-on.
✨Understand Customer Needs
CloudFactory values a people-centric approach, so make sure you can articulate how you would run customer workshops to identify pain points. Prepare examples from your past experiences where you've successfully engaged with clients to understand their needs and how you provided solutions.
✨Showcase Your Problem-Solving Skills
This role involves troubleshooting and resolving integration issues. Be ready to share specific instances where you've identified and solved technical problems, especially in a customer-facing context. Highlight your root cause analysis skills and how you documented solutions for future reference.
✨Emphasise Collaboration
Since this position sits at the intersection of various teams, demonstrate your ability to work cross-functionally. Share experiences where you've collaborated with product, delivery, or sales teams to achieve a common goal. This will resonate well with CloudFactory's mission-driven culture.