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- Tasks: Lead the design and delivery of innovative Generative AI solutions.
- Company: Global technology consultancy at the forefront of AI advancements.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on the future of AI in a large organisation.
- Qualifications: Deep expertise in AIML, LLMs, and vector databases required.
- Other info: Collaborative environment with a focus on responsible AI governance.
The predicted salary is between 43200 - 72000 £ per year.
A global technology consultancy seeks a GenAI Solution Architect to lead the design and delivery of cutting-edge Generative AI solutions. The successful candidate will possess deep expertise in AIML, particularly in LLMs and vector databases, and will drive the development of scalable, secure AI solutions across various business functions.
The role requires collaboration with product, data, and engineering teams to ensure responsible AI governance and successful project implementations. This is a unique opportunity to impact the future of AI in a large organization.
Enterprise GenAI Architect - LLMs, Vector DBs & Governance employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise GenAI Architect - LLMs, Vector DBs & Governance
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Generative AI. Attend meetups or webinars to connect with potential employers and show off your passion for LLMs and vector databases.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your projects related to AIML and AI governance. This will give you an edge and demonstrate your hands-on experience to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in Generative AI. Be ready to discuss how you can drive scalable and secure AI solutions, and don’t forget to highlight your collaborative skills with product and engineering teams.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Make sure to tailor your application to showcase how your skills align with the role of GenAI Solution Architect.
We think you need these skills to ace Enterprise GenAI Architect - LLMs, Vector DBs & Governance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs and vector databases. 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 Generative AI and how you can contribute to our mission. Let us know what excites you about this opportunity!
Showcase Collaboration Skills: Since this role involves working with various teams, make sure to mention any past experiences where you collaborated effectively. We love seeing examples of teamwork and how you’ve driven successful outcomes!
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. Don’t miss out!
How to prepare for a job interview at Capgemini
✨Know Your Tech Inside Out
Make sure you have a solid grasp of LLMs and vector databases. Brush up on the latest trends and technologies in AIML, as well as any relevant case studies or projects you've worked on. This will help you demonstrate your expertise and show that you're genuinely passionate about the field.
✨Showcase Your Collaboration Skills
Since the role involves working with product, data, and engineering teams, be prepared to discuss your experience in cross-functional collaboration. Share specific examples of how you've successfully worked with diverse teams to deliver AI solutions, highlighting your communication and teamwork skills.
✨Understand Responsible AI Governance
Familiarise yourself with the principles of responsible AI governance. Be ready to discuss how you would ensure ethical considerations are integrated into AI solutions. This could include data privacy, bias mitigation, and compliance with regulations, which are crucial for the role.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come armed with insightful questions about the company's approach to Generative AI and their future projects. This not only shows your interest but also helps you gauge if the company aligns with your values and career goals.
