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- Tasks: Lead client projects on Generative AI solutions using Azure and large language models.
- Company: Coeo Ltd, a forward-thinking company in AI & Innovation.
- Benefits: Competitive salary and comprehensive benefits package.
- Other info: Exciting opportunities for growth in a cutting-edge field.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience in Python, data engineering, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Coeo Ltd is seeking a Senior Consultant for its AI & Innovation team in Reading. The role involves leading client engagements focused on Generative AI solutions using large language models on Microsoft Azure.
With a strong emphasis on technical expertise, you'll develop analytics projects, gather client requirements, and deliver secure and scalable solutions.
Candidates should have experience with Python, data engineering, and AI concepts, along with excellent communication skills.
Competitive salary and a comprehensive benefits package are offered.
Hybrid Senior GenAI Architect - Azure & LLM employer: Coeo Ltd
Contact Detail:
Coeo Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Senior GenAI Architect - Azure & LLM
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work with Azure and LLMs. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and data engineering. This is your chance to demonstrate your expertise in Generative AI solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms – it’s all about making sure everyone’s on the same page!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Senior GenAI Architect - Azure & LLM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Generative AI, Azure, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about working with large language models.
Show Off Your Communication Skills: Since this role involves client engagements, we need to see your communication prowess. Whether it’s in your CV, cover letter, or any additional materials, make sure you convey your ideas clearly and 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Coeo Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python and data engineering. Be ready to discuss how you've used these technologies in past projects, particularly in the context of Generative AI and large language models.
✨Understand Client Needs
Since the role involves gathering client requirements, think about how you can demonstrate your ability to understand and translate client needs into technical solutions. Prepare examples of how you've successfully engaged with clients in previous roles.
✨Showcase Your Communication Skills
Excellent communication is key for this position. Practice explaining complex AI concepts in simple terms, as you might need to do this with clients who aren't as tech-savvy. Consider role-playing with a friend to refine your delivery.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think of specific challenges you've faced in previous roles and how you overcame them, especially related to secure and scalable solutions in AI.