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- Tasks: Lead the design and implementation of AI-driven product capabilities across various sectors.
- Company: Global leader in digital services with a focus on innovation.
- Benefits: Competitive compensation and opportunities for professional growth.
- Why this job: Shape the future of AI solutions and make a real impact in diverse industries.
- Qualifications: Strong foundation in NLP and experience with cloud AI ecosystems.
- Other info: Mentor teams and collaborate with product and engineering for innovative outcomes.
The predicted salary is between 36000 - 60000 £ per year.
A global leader in digital services seeks an AI Architect to lead the design and implementation of AI-driven product capabilities. This role involves architecting scalable solutions across various sectors including Finance and Manufacturing. The ideal candidate will have a strong foundation in NLP, hands-on experience with cloud AI ecosystems, and excellent communication skills.
Responsibilities include mentoring teams and collaborating with product and engineering to deliver innovative AI solutions. Competitive compensation provided.
Gen AI Architect – LLM, RAG & AI Workflows in London employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Architect – LLM, RAG & AI Workflows in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Showcase your skills! Create a portfolio of your AI projects, especially those involving NLP and cloud ecosystems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. We recommend practising common interview questions related to AI architecture and being ready to discuss your past experiences.
✨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 Gen AI Architect – LLM, RAG & AI Workflows in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with NLP and cloud AI ecosystems. We want to see how your skills align with the role of Gen AI Architect, so don’t hold back on showcasing relevant projects!
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 the perfect fit for leading innovative solutions at StudySmarter.
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. Whether it’s through clear language in your CV or a well-structured cover letter, we want to see your ability to convey complex ideas simply.
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 Gen AI Architect position. Plus, it’s super easy!
How to prepare for a job interview at Infosys
✨Know Your AI Stuff
Make sure you brush up on your knowledge of NLP and cloud AI ecosystems. Be ready to discuss specific projects you've worked on, especially those that involved scalable solutions in sectors like Finance and Manufacturing. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Communication Skills
Since this role involves mentoring and collaboration, practice articulating your thoughts clearly. Prepare to explain complex AI concepts in simple terms, as you might need to communicate with non-technical stakeholders. A mock interview with a friend can help you refine this skill.
✨Prepare for Scenario Questions
Expect questions that ask how you would approach specific challenges in AI architecture. Think about past experiences where you had to solve problems or innovate under pressure. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Research the Company’s AI Initiatives
Familiarise yourself with the company’s current AI projects and their impact on various sectors. This will not only help you tailor your responses but also demonstrate your genuine interest in the role and the organisation. Bring up any relevant insights during the interview to make a lasting impression.
