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- Tasks: Lead the development of innovative AI solutions and optimise business opportunities.
- Company: Join a forward-thinking tech company at the forefront of generative AI.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be a thought leader in AI and make a significant impact across various industries.
- Qualifications: 10+ years in AI/ML with expertise in LLMs and cloud computing.
- Other info: Dynamic role with a focus on cutting-edge technology and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
Role: GenAI Architect
Duration: long term
Roles and Responsibilities:
- Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field.
- Specialization in Natural Language Processing is preferred.
- 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain.
- Prior experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization.
- The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise.
- Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools.
- Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc., and productionizing machine learning and AI models.
- Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications.
- Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services.
- Strong skills in UNIX/Linux environments and command-line tools.
- Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components.
- Responsibilities also include data analysis/preprocessing for training and fine-tuning language models.
- Solves virtually all issues around privacy, real-time, sparse data collection, passive data collection and security and regulatory requirements.
GenAI Architect in City of London employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Architect in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on a GenAI Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with LLMs and AI solutions. This is your chance to demonstrate your expertise and thought leadership in the field.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with cloud computing and machine learning frameworks in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you a better shot at landing that dream job.
We think you need these skills to ace GenAI Architect in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the GenAI Architect role. Highlight your experience in AI, ML, and LLMs, especially in the Finance or Retail domains. We want to see how your background aligns with what we're looking for!
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 your skills can help us at StudySmarter. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any projects involving LLMs or cloud computing, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on the details.
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!
How to prepare for a job interview at HCLTech
✨Know Your Stuff
Make sure you brush up on your knowledge of generative AI and large language models. Be ready to discuss your experience with frameworks like LangChain and LlamaIndex, as well as any projects you've worked on that involved fine-tuning LLMs.
✨Showcase Your Analytical Skills
Prepare examples of how you've identified opportunities for optimisation through analytics in previous roles. Highlight your thought leadership and how your analytical business acumen has led to successful AI/ML implementations.
✨Cloud Computing is Key
Since cloud computing expertise is crucial, be prepared to talk about your experience with Azure Cloud Services. Discuss specific projects where you've architected solutions in the cloud and how you tackled challenges related to deployment.
✨Demonstrate Technical Proficiency
Be ready to dive into technical discussions about programming in Python and your familiarity with deep learning frameworks like TensorFlow or PyTorch. Show them you can not only develop but also test and deploy AI solutions effectively.
