Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement cutting-edge Generative AI solutions for various applications.
- Company: Join a forward-thinking tech company in Sheffield, leading the way in AI innovation.
- Benefits: Enjoy hybrid work options and the chance to work with the latest AI technologies.
- Why this job: Be at the forefront of AI advancements while collaborating with diverse teams.
- Qualifications: 10+ years in AI/ML, with hands-on experience in Generative AI and Python.
- Other info: This is a contract role inside IR35, perfect for experienced professionals.
The predicted salary is between 60000 - 84000 £ per year.
We are seeking a hands-on Generative AI Architect to design, implement, and optimize cutting-edge Gen AI solutions leveraging Generative AI and agentic architectures. The ideal candidate will have deep technical expertise in using LLMs (Large Language Models) for solving business problems, cloud-based Gen AI application deployments (Google Vertex AI preferred), and designing and developing multi-agentic Gen AI applications.
Key Responsibilities:
- Architect and implement Generative AI solutions for Conversational AI, automation, and enterprise applications.
- Design and develop multi-agentic AI applications using frameworks like Google Vertex AI agents, LangGraph, CrewAI, LlamaIndex multi-agentic workflows or AutoGen.
- Evaluate Gen AI & multi-agentic applications for hallucination, correctness, and accuracy.
- Troubleshoot and optimize Gen AI applications on cloud platforms preferably GCP.
- Integrate Gen AI and multi-agentic applications with tools, databases, and APIs for real-world use cases.
- Ensure Gen AI solutions are scalable, reliable, and compliant with data privacy and security standards.
- Lead the Gen AI teams to deliver value to our customers.
- Lead AI research initiatives and explore state-of-the-art advancements in Generative AI.
- Collaborate with engineering, product, and business teams to define Gen AI-driven strategies and roadmaps.
Required Skills & Qualifications:
- 10+ years of experience in AI/ML, with a focus on Generative AI and NLP for the past 2 years or so.
- Should be hands-on and proficient in Python and associated data science libraries like Pandas, NumPy.
- Expertise in using Gen AI frameworks like LangChain, LlamaIndex and multi-agentic frameworks like Google Vertex AI agents, LangGraph, CrewAI, LlamaIndex multi-agentic workflows or AutoGen.
- Hands-on expertise in building and productionizing Gen AI solutions.
- Hands-on expertise on RAG pattern and multi-agentic patterns like workflows, hierarchical agents & agentic swarms.
- Hands-on expertise on Gen AI application evaluation techniques and frameworks like DeepEval.
- Hands-on experience on Gen AI application monitoring tools such as Arize Pheonix and LangSmith.
- Hands-on experience with cloud AI platforms (Google Vertex AI, AWS SageMaker, Azure AI).
- Knowledge of GenAIOps, AI security, and responsible AI best practices.
- Ability to lead AI initiatives, mentor teams, and drive innovation.
- Ability to research and learn new technologies.
Preferred Skills:
- Background in AI ethics, fairness, and regulatory compliance.
Generative AI Architect employer: PURVIEW
Contact Detail:
PURVIEW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Architect
✨Tip Number 1
Network with professionals in the AI and tech industry, especially those who have experience with Generative AI. Attend meetups, webinars, or conferences to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Showcase your hands-on experience by contributing to open-source projects related to Generative AI. This not only demonstrates your skills but also helps you build a portfolio that can impress hiring managers.
✨Tip Number 3
Stay updated on the latest advancements in Generative AI and multi-agent architectures. Follow relevant blogs, podcasts, and research papers to ensure you can discuss current trends and innovations during interviews.
✨Tip Number 4
Prepare to discuss specific projects where you've implemented Generative AI solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving abilities.
We think you need these skills to ace Generative AI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Generative AI, LLMs, and cloud-based deployments. Use specific examples that demonstrate your hands-on expertise in Python and relevant frameworks like Google Vertex AI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Generative AI and how your skills align with the role. Mention any relevant projects or achievements that showcase your ability to lead AI initiatives and collaborate with teams.
Showcase Technical Skills: Clearly outline your technical skills related to Generative AI and multi-agent architectures. Include your proficiency in tools and libraries such as Pandas, NumPy, and any experience with AI monitoring tools like Arize Phoenix.
Highlight Leadership Experience: If you have experience leading teams or mentoring others in AI projects, make sure to highlight this. Companies are looking for candidates who can drive innovation and lead AI research initiatives.
How to prepare for a job interview at PURVIEW
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Generative AI and LLMs. Highlight specific projects where you've implemented solutions using frameworks like Google Vertex AI, LangChain, or LlamaIndex, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
Expect to tackle hypothetical scenarios during the interview. Practice articulating your thought process on how you would approach designing and optimising Gen AI applications, especially in terms of scalability, reliability, and compliance with data privacy standards.
✨Prepare for Technical Questions
Brush up on your knowledge of Python and relevant data science libraries like Pandas and NumPy. Be ready to answer questions about Gen AI application evaluation techniques and monitoring tools, as well as your experience with cloud platforms such as GCP, AWS, or Azure.
✨Emphasise Leadership and Collaboration
Since the role involves leading teams and collaborating with various departments, prepare examples that showcase your leadership skills and ability to mentor others. Discuss how you've driven innovation in past roles and how you can contribute to the company's AI initiatives.
