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- Tasks: Lead the design and implementation of AI-driven product capabilities.
- Company: Global leader in digital services with a focus on innovation.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Shape innovative AI solutions and work with cutting-edge technology.
- Qualifications: Strong technical foundation in AI, machine learning, and excellent communication skills.
- Other info: Based in the vibrant City of Westminster, UK.
The predicted salary is between 48000 - 72000 £ per year.
A global leader in digital services is looking for an AI Architect to lead the design and implementation of AI-driven product capabilities. The role requires collaboration across product, engineering, and data teams, alongside a strong technical foundation in AI and machine learning. Ideal candidates should demonstrate excellent communication skills and experience in developing scalable AI solutions. This position is based in the City of Westminster, UK and offers an opportunity to shape innovative AI solutions.
GenAI Solutions Architect: LLMs, MLOps & Product Impact in Westminster employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Solutions Architect: LLMs, MLOps & Product Impact in Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in AI and machine learning. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source initiatives. This gives 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 soft skills. Practice explaining complex concepts in simple terms – it’s all about clear communication in this field!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace GenAI Solutions Architect: LLMs, MLOps & Product Impact in Westminster
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your passion aligns with our mission to create innovative AI solutions.
Highlight Relevant Experience: Make sure to showcase your experience in developing scalable AI solutions. We’re looking for candidates who can demonstrate their technical skills and how they’ve successfully collaborated with product, engineering, and data teams.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the GenAI Solutions Architect role. We appreciate when candidates take the time to connect their skills to what we’re looking for.
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 this exciting opportunity in the City of Westminster!
How to prepare for a job interview at Infosys Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss specific projects you've worked on, especially those involving LLMs and MLOps. This will show that you have the technical foundation needed for the role.
✨Showcase Collaboration Skills
Since the role involves working with product, engineering, and data teams, prepare examples that highlight your collaboration experience. Think about times when you successfully worked across different teams to deliver a project or solve a problem.
✨Communicate Clearly
Excellent communication skills are a must. Practice explaining complex AI concepts in simple terms, as you may need to communicate with non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about how you would approach designing scalable AI solutions and be ready to discuss your thought process and decision-making.
