At a Glance
- Tasks: Lead the design of next-gen AI solutions for data transformations.
- Company: Innovative tech company focused on AI and data engineering.
- Benefits: Competitive salary, career progression, and a collaborative environment.
- Other info: Work on cutting-edge projects with global impact.
- Why this job: Join us to shape the future of intelligent automation in data processing.
- Qualifications: Strong expertise in data engineering and scalable AI frameworks.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a highly skilled AI Engineering Architect to lead the design and development of next‑generation Agentic AI solutions powering large‑scale data transformations.
Location: London / Nottingham
Employment Type: Full‑time
Role Overview
This role acts as the “brain” of a transformation accelerator, driving intelligent automation across complex data pipelines using advanced LLM frameworks and AI‑driven engineering practices.
Key Responsibilities
- Architect and implement Agentic AI workflows to automate data processing.
- Design and standardize prompt engineering frameworks.
- Define and maintain context management strategies for large language models.
- Build and enhance AI validation pipelines, including hallucination detection and control.
- Develop static analysis mechanisms for generated code.
- Drive AI‑generated documentation and metadata generation.
- Scale intelligent automation across thousands of pipelines.
Required Skills & Experience
- Strong expertise in data engineering concepts.
- Ability to develop scalable frameworks for AI code generation and validation.
- Experience in building and maintaining AI‑driven engineering practices.
Nice to have
- Experience with orchestration frameworks (e.g., Airflow or similar).
- Exposure to data processing frameworks such as Spark.
What We Offer
- Opportunity to work on cutting‑edge Agentic AI transformation projects.
- Collaborative and innovation‑focused environment.
- Career progression within a global technology organization.
How to Apply
If you’re passionate about building intelligent systems that transform how data platforms are designed and delivered, we’d love to hear from you.
Artificial Intelligence Consultant employer: UST
At U, we pride ourselves on being an excellent employer by fostering a collaborative and innovation-focused environment where talented individuals can thrive. As an Artificial Intelligence Consultant in London/Nottingham, you will have the opportunity to work on cutting-edge projects that drive intelligent automation, while also benefiting from career progression within a global technology organisation. Our commitment to employee growth and development ensures that you will be supported in your journey to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Consultant
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data engineering space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source initiatives. This is a great way to demonstrate your expertise in building scalable frameworks and working with advanced LLMs. Make sure to link it in your applications!
✨Tip Number 3
Prepare for those interviews! Research common interview questions for AI Engineering Architects and practice your responses. Be ready to discuss your experience with data pipelines and prompt engineering frameworks. Confidence is key!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in our projects. Tailor your application to highlight your experience with intelligent automation and data processing frameworks. Let’s get you on board!
We think you need these skills to ace Artificial Intelligence Consultant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI engineering and data transformation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for AI and data platforms.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We’re looking for innovative thinkers who can drive intelligent automation, so let us know how you’ve done this before!
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’s super easy to do!
How to prepare for a job interview at UST
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of Agentic AI and data engineering concepts. Be ready to discuss how you've implemented AI workflows in the past, and think about specific examples that showcase your expertise in building scalable frameworks.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach automating complex data pipelines or handling hallucination detection. This will demonstrate your critical thinking and ability to apply your skills in real-world situations.
✨Familiarise Yourself with Relevant Tools
If you have experience with orchestration frameworks like Airflow or data processing frameworks such as Spark, be sure to highlight this. Even if you haven't used them extensively, showing that you're aware of these tools can set you apart from other candidates.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's AI transformation projects or their approach to intelligent automation. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
