At a Glance
- Tasks: Design AI/ML architecture and implement cutting-edge generative AI capabilities.
- Company: Fast-growing tech company recognised for innovation and excellence in cloud solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Work with leading enterprises and enjoy a collaborative, innovative environment.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Expertise in AI/ML, Amazon Bedrock, and strong problem-solving skills.
The predicted salary is between 80000 - 100000 £ per year.
Intuitive.AI is one of the fastest-growing Cloud & SDx solution and services companies supporting enterprise customers on a global scale. We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals.
About the job:
- Start date: Immediate
- Position Type: Full Time
- Location: Remote across UK (London Preferred)
Description:
Design and implement the AI/ML architecture and GenAI capabilities for our platform. Build RAG pipelines grounded in the Knowledge Graph. Develop and optimize prompts for specification authoring, test case generation, and impact analysis agents. Implement MLOps practices for model evaluation, versioning, and deployment. Design AI security controls including IP protection, grounding checks, and guardrails. Integrate Amazon Bedrock (Claude models), Knowledge Bases, and AgentCore Runtime into production workflows.
Skills:
- Amazon Bedrock (Claude, Titan Embeddings, Knowledge Bases) — Level 5 (Authority)
- RAG Architecture & Prompt Engineering — Level 5 (Authority)
- Amazon SageMaker (MLOps, Pipelines, Evaluation) — Level 4 (Advanced)
- Agent Frameworks (Strands SDK, MCP, AgentCore) — Level 4 (Advanced)
- AI Security (Guardrails, PII redaction, IP protection) — Level 3 (Advanced)
Responsibilities:
- AI/ML Architecture Design and MLOps
- Advanced NLP and Generative AI Capabilities
- AI Security and IP Protection Integration
- RAG pipeline: Bedrock KB + Neptune GraphRAG + OpenSearch vector search
- Agent development: Spec Co-Pilot, Test Case Co-Pilot, Impact Analysis agents
- Model evaluation framework: quality metrics, cost tracking, grounding validation
Principal Data Scientist/ AI-ML Engineer in Reading employer: Intuitive.ai
At Intuitive.AI, we pride ourselves on being a leading employer in the tech industry, offering a dynamic remote work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values creativity and problem-solving. Join us in London or remotely across the UK, and be part of a team that is shaping the future of AI and cloud solutions while enjoying the benefits of a fast-paced, award-winning company.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist/ AI-ML Engineer in Reading
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects or contributions. We love seeing real-world applications of your expertise, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and even doing mock interviews with friends. Confidence is key, so let your passion for AI/ML shine through!
✨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, we’re always on the lookout for talented individuals like you to join our team at Intuitive.AI.
We think you need these skills to ace Principal Data Scientist/ AI-ML Engineer in Reading
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with AI/ML architecture and MLOps in your application. We want to see how you can bring your expertise to the table, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the specific skills mentioned in the job description. We love it when candidates take the time to align their experiences with what we’re looking for.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and skills shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role!
How to prepare for a job interview at Intuitive.ai
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Amazon Bedrock and MLOps practices. Brush up on your knowledge of RAG architecture and prompt engineering, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles related to AI/ML architecture design or model evaluation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Demonstrate Your Passion for AI Security
Since AI security is a key part of the role, be ready to talk about your experience with IP protection and guardrails. Share examples of how you've implemented security measures in past projects to show that you take this aspect seriously.
✨Ask Insightful Questions
Prepare thoughtful questions about Intuitive.AI’s current projects or future goals in AI/ML. This shows your genuine interest in the company and helps you assess if it’s the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
