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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 those passionate about shaping the future of AI technology.
The predicted salary is between 43200 - 72000 £ per year.
Generative AI Solution Architect 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
Brush up on your Python programming skills, as hands-on experience is crucial for this position. Consider working on small projects or contributing to open-source initiatives that utilise generative AI to demonstrate your capabilities.
✨Tip Number 3
Prepare to discuss your experience with cloud platforms, particularly Azure. Highlight any projects where you've implemented AI solutions on cloud services, as this will be a key aspect of the role.
✨Tip Number 4
Showcase your understanding of prompt engineering and various solution patterns. Be ready to provide examples of how you've applied these techniques in past projects, as this will set you apart from other candidates.
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 like LangChain or LangGraph. Use keywords from the job description to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, explain how your skills align with the responsibilities of the Generative AI Architect role. Mention specific projects where you've designed AI solutions or led teams, and express your enthusiasm for the position.
Showcase Your Technical Skills: Include a section in your application that details your hands-on experience with generative AI frameworks, cloud platforms, and programming languages. Be specific about your familiarity with tools like Git and your understanding of the software development lifecycle.
Prepare for Interviews: Anticipate questions related to your experience with AI technologies and your approach to system design. Be ready to discuss your knowledge of prompt engineering and various solution patterns, as well as your ability to collaborate with cross-functional teams.
How to prepare for a job interview at N Consulting Global
✨Showcase Your Technical Skills
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 practical knowledge and problem-solving abilities.
✨Understand the Business Context
Research the company’s business objectives and how they align with AI solutions. During the interview, articulate how your proposed AI architectures can drive innovation and meet their specific needs, showing that you can think strategically about technology.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to lead AI system design and architecture. Prepare examples of past experiences where you collaborated with cross-functional teams or led projects, focusing on your role in ensuring scalability, performance, and security.
✨Demonstrate Continuous Learning
Stay updated on the latest developments in generative AI technologies. Be ready to discuss recent advancements or tools you've explored, showcasing your commitment to continuous learning and adaptability in a rapidly evolving field.
