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For Companies At a Glance
- Tasks: Design and develop cutting-edge AI solutions while collaborating with diverse teams.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a dynamic culture that values creativity and impact in the AI space.
- Qualifications: Strong programming skills in Python and experience with generative AI frameworks required.
- Other info: Ideal for tech enthusiasts eager to shape the future of AI technology.
The predicted salary is between 43200 - 72000 £ per year.
Responsibilities
- Design and develop AI solutions that align with business objectives and technical requirements
- Collaborate with cross-functional teams to identify opportunities for AI integration and innovation
- Lead the architecture and design of AI systems, ensuring scalability, performance, and security
- Create solution architectures and deliver impactful presentations to stakeholders
- Evaluate and select appropriate AI technologies, frameworks, and tools
- Hands-on experience programming with generative AI frameworks including LangChain, LangGraph, Semantic Kernel, etc.
- Hands-on programming knowledge in Python
- Expertise in prompt engineering and various solution patterns such as advanced RAG (Retrieval-Augmented Generation), Graph RAG, Agentic RAG, text summarisation techniques, and generative AI evaluation frameworks and agentic AI solution patterns
- Familiarity with software development lifecycle (SDLC) processes and tools like Git and design tools
- Experience with DevOps practices and tools
- Ability to quickly learn and adopt the latest developments in generative AI technologies and create working reference implementations
- Good knowledge of classical machine learning, natural language processing (NLP), and data engineering concepts
- Experience with cloud platforms; preferably Azure Cloud platform and Azure AI services
Preferred Qualifications
- Generative AI certifications
- Cloud or architect-level certifications
- Proficiency in system design and programming/design concepts such as OOP and design patterns
- Experience of leading teams of skilled programmers and collaborating with global teams
- Good understanding of ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Generative AI Architect employer: N Consulting Global
Contact Detail:
N Consulting Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Architect
✨Tip Number 1
Familiarise yourself with the latest generative AI frameworks like LangChain and LangGraph. Being able to discuss these technologies in detail during interviews will show your expertise and enthusiasm for the role.
✨Tip Number 2
Network with professionals in the AI field, especially those who have experience with Azure Cloud services. Engaging in discussions or attending meetups can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to demonstrate your hands-on programming skills in Python and your understanding of prompt engineering. Consider building a small project that showcases your ability to implement generative AI solutions.
✨Tip Number 4
Stay updated on the latest trends in AI and machine learning by following relevant blogs, podcasts, and webinars. This knowledge will not only help you in interviews but also show your commitment to continuous learning.
We think you need these skills to ace Generative AI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in generative AI, programming with Python, and any specific frameworks mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about generative AI and how your skills align with the responsibilities of the role. Mention specific projects or experiences that demonstrate your expertise in AI solutions and collaboration with cross-functional teams.
Showcase Your Technical Skills: Include a section in your application that details your hands-on experience with generative AI frameworks and tools. Highlight your knowledge of prompt engineering and any relevant certifications you hold, as these will strengthen your application.
Prepare for Technical Questions: Anticipate technical questions related to AI architecture, programming concepts, and cloud platforms during the interview process. Be ready to discuss your experience with SDLC processes, DevOps practices, and any relevant machine learning frameworks.
How to prepare for a job interview at N Consulting Global
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with generative AI frameworks like LangChain and Python programming. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to design and develop AI solutions.
✨Demonstrate Collaboration Skills
Since the role involves working with cross-functional teams, share examples of how you've collaborated with others in previous roles. Discuss any challenges you faced and how you overcame them, showcasing your ability to integrate AI into various business contexts.
✨Prepare for Architecture Discussions
Expect questions about system architecture and design principles. Be ready to explain your approach to ensuring scalability, performance, and security in AI systems. You might also want to prepare a few architectural diagrams to illustrate your thought process.
✨Stay Updated on AI Trends
The field of generative AI is rapidly evolving, so it's crucial to show that you're keeping up with the latest developments. Mention any recent advancements or tools you've explored, and be ready to discuss how they could be applied to the role at hand.
