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- Tasks: Design and implement cutting-edge Generative AI solutions for various applications.
- Company: Join a forward-thinking company at the forefront of AI innovation in Sheffield.
- Benefits: Enjoy hybrid work options and the chance to lead exciting AI projects.
- Why this job: Be part of a dynamic team shaping the future of AI with real-world impact.
- Qualifications: 10+ years in AI/ML, with hands-on experience in Generative AI and Python.
- Other info: Opportunity to mentor teams and drive innovative AI initiatives.
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 Models) for solving business problems, cloud-based Gen AI application deployments (Google Vertex AI), 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 with 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.
Skills:
- Background in AI ethics, fairness, and regulatory compliance.
Generative AI Architect employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Architect
✨Tip Number 1
Familiarise yourself with the specific Generative AI frameworks mentioned in the job description, such as Google Vertex AI and LangChain. Having hands-on experience or projects that showcase your skills with these tools will make you stand out.
✨Tip Number 2
Network with professionals in the AI field, especially those who have experience in Generative AI. Attend relevant meetups or webinars to connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Stay updated on the latest advancements in Generative AI and multi-agentic architectures. Being able to discuss recent trends or breakthroughs during an interview can demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare to discuss real-world applications of Generative AI that you've worked on. Be ready to explain how you approached problem-solving and the impact your solutions had, as this will show your practical experience and ability to deliver value.
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 in Generative AI and NLP, particularly focusing on the last 10 years. Emphasise your hands-on expertise with relevant frameworks like Google Vertex AI, LangChain, and LlamaIndex.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about Generative AI and how your skills align with the company's needs. Mention specific projects or achievements that demonstrate your ability to lead AI initiatives and drive innovation.
Showcase Relevant Projects: Include a section in your application that details specific projects you've worked on related to Generative AI. Highlight your role, the technologies used, and the outcomes achieved, especially in terms of scalability and compliance with data privacy standards.
Highlight Continuous Learning: Demonstrate your commitment to staying updated with the latest advancements in Generative AI. Mention any recent courses, certifications, or research initiatives you've undertaken that relate to the role.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Generative AI frameworks and tools. Highlight specific projects where you've implemented LLMs or multi-agentic applications, 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 solutions for real-world business problems.
✨Familiarise Yourself with Current Trends
Stay updated on the latest advancements in Generative AI and related technologies. Being able to discuss recent developments or research can set you apart and show your passion for the field.
✨Prepare for Team Collaboration Questions
Since the role involves leading teams and collaborating with various departments, think of examples that demonstrate your leadership and teamwork skills. Be ready to discuss how you’ve successfully driven AI initiatives in a collaborative environment.
